RFC 2083 - PNG (Portable Network Graphics) Specification Version 1.0

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Network Working Group T. Boutell, et. al.
Request for Comments: 2083 Boutell.Com, Inc.
Category: Informational March 1997
 PNG (Portable Network Graphics) Specification
 Version 1.0
Status of this Memo
 This memo provides information for the Internet community. This memo
 does not specify an Internet standard of any kind. Distribution of
 this memo is unlimited.
IESG Note:
 The IESG takes no position on the validity of any Intellectual
 Property Rights statements contained in this document.
Abstract
 This document describes PNG (Portable Network Graphics), an
 extensible file format for the lossless, portable, well-compressed
 storage of raster images. PNG provides a patent-free replacement for
 GIF and can also replace many common uses of TIFF. Indexed-color,
 grayscale, and truecolor images are supported, plus an optional alpha
 channel. Sample depths range from 1 to 16 bits.
 PNG is designed to work well in online viewing applications, such as
 the World Wide Web, so it is fully streamable with a progressive
 display option. PNG is robust, providing both full file integrity
 checking and simple detection of common transmission errors. Also,
 PNG can store gamma and chromaticity data for improved color matching
 on heterogeneous platforms.
 This specification defines the Internet Media Type image/png.
Table of Contents
 1. Introduction .................................................. 4
 2. Data Representation ........................................... 5
 2.1. Integers and byte order .................................. 5
 2.2. Color values ............................................. 6
 2.3. Image layout ............................................. 6
 2.4. Alpha channel ............................................ 7
 2.5. Filtering ................................................ 8
 2.6. Interlaced data order .................................... 8
 2.7. Gamma correction ......................................... 10
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RFC 2083 PNG: Portable Network Graphics March 1997
 2.8. Text strings ............................................. 10
 3. File Structure ................................................ 11
 3.1. PNG file signature ....................................... 11
 3.2. Chunk layout ............................................. 11
 3.3. Chunk naming conventions ................................. 12
 3.4. CRC algorithm ............................................ 15
 4. Chunk Specifications .......................................... 15
 4.1. Critical chunks .......................................... 15
 4.1.1. IHDR Image header .................................. 15
 4.1.2. PLTE Palette ....................................... 17
 4.1.3. IDAT Image data .................................... 18
 4.1.4. IEND Image trailer ................................. 19
 4.2. Ancillary chunks ......................................... 19
 4.2.1. bKGD Background color .............................. 19
 4.2.2. cHRM Primary chromaticities and white point ........ 20
 4.2.3. gAMA Image gamma ................................... 21
 4.2.4. hIST Image histogram ............................... 21
 4.2.5. pHYs Physical pixel dimensions ..................... 22
 4.2.6. sBIT Significant bits .............................. 22
 4.2.7. tEXt Textual data .................................. 24
 4.2.8. tIME Image last-modification time .................. 25
 4.2.9. tRNS Transparency .................................. 26
 4.2.10. zTXt Compressed textual data ...................... 27
 4.3. Summary of standard chunks ............................... 28
 4.4. Additional chunk types ................................... 29
 5. Deflate/Inflate Compression ................................... 29
 6. Filter Algorithms ............................................. 31
 6.1. Filter types ............................................. 31
 6.2. Filter type 0: None ...................................... 32
 6.3. Filter type 1: Sub ....................................... 33
 6.4. Filter type 2: Up ........................................ 33
 6.5. Filter type 3: Average ................................... 34
 6.6. Filter type 4: Paeth...................................... 35
 7. Chunk Ordering Rules .......................................... 36
 7.1. Behavior of PNG editors .................................. 37
 7.2. Ordering of ancillary chunks ............................. 38
 7.3. Ordering of critical chunks .............................. 38
 8. Miscellaneous Topics .......................................... 39
 8.1. File name extension ...................................... 39
 8.2. Internet media type ...................................... 39
 8.3. Macintosh file layout .................................... 39
 8.4. Multiple-image extension ................................. 39
 8.5. Security considerations .................................. 40
 9. Recommendations for Encoders .................................. 41
 9.1. Sample depth scaling ..................................... 41
 9.2. Encoder gamma handling ................................... 42
 9.3. Encoder color handling ................................... 45
 9.4. Alpha channel creation ................................... 47
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RFC 2083 PNG: Portable Network Graphics March 1997
 9.5. Suggested palettes ....................................... 48
 9.6. Filter selection ......................................... 49
 9.7. Text chunk processing .................................... 49
 9.8. Use of private chunks .................................... 50
 9.9. Private type and method codes ............................ 51
 10. Recommendations for Decoders ................................. 51
 10.1. Error checking .......................................... 52
 10.2. Pixel dimensions ........................................ 52
 10.3. Truecolor image handling ................................ 52
 10.4. Sample depth rescaling .................................. 53
 10.5. Decoder gamma handling .................................. 54
 10.6. Decoder color handling .................................. 56
 10.7. Background color ........................................ 57
 10.8. Alpha channel processing ................................ 58
 10.9. Progressive display ..................................... 62
 10.10. Suggested-palette and histogram usage .................. 63
 10.11. Text chunk processing .................................. 64
 11. Glossary ..................................................... 65
 12. Appendix: Rationale .......................................... 69
 12.1. Why a new file format? .................................. 69
 12.2. Why these features? ..................................... 70
 12.3. Why not these features? ................................. 70
 12.4. Why not use format X? ................................... 72
 12.5. Byte order .............................................. 73
 12.6. Interlacing ............................................. 73
 12.7. Why gamma? .............................................. 73
 12.8. Non-premultiplied alpha ................................. 75
 12.9. Filtering ............................................... 75
 12.10. Text strings ........................................... 76
 12.11. PNG file signature ..................................... 77
 12.12. Chunk layout ........................................... 77
 12.13. Chunk naming conventions ............................... 78
 12.14. Palette histograms ..................................... 80
 13. Appendix: Gamma Tutorial ..................................... 81
 14. Appendix: Color Tutorial ..................................... 89
 15. Appendix: Sample CRC Code .................................... 94
 16. Appendix: Online Resources ................................... 96
 17. Appendix: Revision History ................................... 96
 18. References ................................................... 97
 19. Credits ......................................................100
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RFC 2083 PNG: Portable Network Graphics March 1997
1. Introduction
 The PNG format provides a portable, legally unencumbered, well-
 compressed, well-specified standard for lossless bitmapped image
 files.
 Although the initial motivation for developing PNG was to replace
 GIF, the design provides some useful new features not available in
 GIF, with minimal cost to developers.
 GIF features retained in PNG include:
 * Indexed-color images of up to 256 colors.
 * Streamability: files can be read and written serially, thus
 allowing the file format to be used as a communications
 protocol for on-the-fly generation and display of images.
 * Progressive display: a suitably prepared image file can be
 displayed as it is received over a communications link,
 yielding a low-resolution image very quickly followed by
 gradual improvement of detail.
 * Transparency: portions of the image can be marked as
 transparent, creating the effect of a non-rectangular image.
 * Ancillary information: textual comments and other data can be
 stored within the image file.
 * Complete hardware and platform independence.
 * Effective, 100% lossless compression.
 Important new features of PNG, not available in GIF, include:
 * Truecolor images of up to 48 bits per pixel.
 * Grayscale images of up to 16 bits per pixel.
 * Full alpha channel (general transparency masks).
 * Image gamma information, which supports automatic display of
 images with correct brightness/contrast regardless of the
 machines used to originate and display the image.
 * Reliable, straightforward detection of file corruption.
 * Faster initial presentation in progressive display mode.
 PNG is designed to be:
 * Simple and portable: developers should be able to implement PNG
 easily.
 * Legally unencumbered: to the best knowledge of the PNG authors,
 no algorithms under legal challenge are used. (Some
 considerable effort has been spent to verify this.)
 * Well compressed: both indexed-color and truecolor images are
 compressed as effectively as in any other widely used lossless
 format, and in most cases more effectively.
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RFC 2083 PNG: Portable Network Graphics March 1997
 * Interchangeable: any standard-conforming PNG decoder must read
 all conforming PNG files.
 * Flexible: the format allows for future extensions and private
 add-ons, without compromising interchangeability of basic PNG.
 * Robust: the design supports full file integrity checking as
 well as simple, quick detection of common transmission errors.
 The main part of this specification gives the definition of the file
 format and recommendations for encoder and decoder behavior. An
 appendix gives the rationale for many design decisions. Although the
 rationale is not part of the formal specification, reading it can
 help implementors understand the design. Cross-references in the
 main text point to relevant parts of the rationale. Additional
 appendixes, also not part of the formal specification, provide
 tutorials on gamma and color theory as well as other supporting
 material.
 In this specification, the word "must" indicates a mandatory
 requirement, while "should" indicates recommended behavior.
 See Rationale: Why a new file format? (Section 12.1), Why these
 features? (Section 12.2), Why not these features? (Section 12.3), Why
 not use format X? (Section 12.4).
 Pronunciation
 PNG is pronounced "ping".
2. Data Representation
 This chapter discusses basic data representations used in PNG files,
 as well as the expected representation of the image data.
 2.1. Integers and byte order
 All integers that require more than one byte must be in network
 byte order: the most significant byte comes first, then the less
 significant bytes in descending order of significance (MSB LSB for
 two-byte integers, B3 B2 B1 B0 for four-byte integers). The
 highest bit (value 128) of a byte is numbered bit 7; the lowest
 bit (value 1) is numbered bit 0. Values are unsigned unless
 otherwise noted. Values explicitly noted as signed are represented
 in two's complement notation.
 See Rationale: Byte order (Section 12.5).
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RFC 2083 PNG: Portable Network Graphics March 1997
 2.2. Color values
 Colors can be represented by either grayscale or RGB (red, green,
 blue) sample data. Grayscale data represents luminance; RGB data
 represents calibrated color information (if the cHRM chunk is
 present) or uncalibrated device-dependent color (if cHRM is
 absent). All color values range from zero (representing black) to
 most intense at the maximum value for the sample depth. Note that
 the maximum value at a given sample depth is (2^sampledepth)-1,
 not 2^sampledepth.
 Sample values are not necessarily linear; the gAMA chunk specifies
 the gamma characteristic of the source device, and viewers are
 strongly encouraged to compensate properly. See Gamma correction
 (Section 2.7).
 Source data with a precision not directly supported in PNG (for
 example, 5 bit/sample truecolor) must be scaled up to the next
 higher supported bit depth. This scaling is reversible with no
 loss of data, and it reduces the number of cases that decoders
 have to cope with. See Recommendations for Encoders: Sample depth
 scaling (Section 9.1) and Recommendations for Decoders: Sample
 depth rescaling (Section 10.4).
 2.3. Image layout
 Conceptually, a PNG image is a rectangular pixel array, with
 pixels appearing left-to-right within each scanline, and scanlines
 appearing top-to-bottom. (For progressive display purposes, the
 data may actually be transmitted in a different order; see
 Interlaced data order, Section 2.6.) The size of each pixel is
 determined by the bit depth, which is the number of bits per
 sample in the image data.
 Three types of pixel are supported:
 * An indexed-color pixel is represented by a single sample
 that is an index into a supplied palette. The image bit
 depth determines the maximum number of palette entries, but
 not the color precision within the palette.
 * A grayscale pixel is represented by a single sample that is
 a grayscale level, where zero is black and the largest value
 for the bit depth is white.
 * A truecolor pixel is represented by three samples: red (zero
 = black, max = red) appears first, then green (zero = black,
 max = green), then blue (zero = black, max = blue). The bit
 depth specifies the size of each sample, not the total pixel
 size.
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RFC 2083 PNG: Portable Network Graphics March 1997
 Optionally, grayscale and truecolor pixels can also include an
 alpha sample, as described in the next section.
 Pixels are always packed into scanlines with no wasted bits
 between pixels. Pixels smaller than a byte never cross byte
 boundaries; they are packed into bytes with the leftmost pixel in
 the high-order bits of a byte, the rightmost in the low-order
 bits. Permitted bit depths and pixel types are restricted so that
 in all cases the packing is simple and efficient.
 PNG permits multi-sample pixels only with 8- and 16-bit samples,
 so multiple samples of a single pixel are never packed into one
 byte. 16-bit samples are stored in network byte order (MSB
 first).
 Scanlines always begin on byte boundaries. When pixels have fewer
 than 8 bits and the scanline width is not evenly divisible by the
 number of pixels per byte, the low-order bits in the last byte of
 each scanline are wasted. The contents of these wasted bits are
 unspecified.
 An additional "filter type" byte is added to the beginning of
 every scanline (see Filtering, Section 2.5). The filter type byte
 is not considered part of the image data, but it is included in
 the datastream sent to the compression step.
 2.4. Alpha channel
 An alpha channel, representing transparency information on a per-
 pixel basis, can be included in grayscale and truecolor PNG
 images.
 An alpha value of zero represents full transparency, and a value
 of (2^bitdepth)-1 represents a fully opaque pixel. Intermediate
 values indicate partially transparent pixels that can be combined
 with a background image to yield a composite image. (Thus, alpha
 is really the degree of opacity of the pixel. But most people
 refer to alpha as providing transparency information, not opacity
 information, and we continue that custom here.)
 Alpha channels can be included with images that have either 8 or
 16 bits per sample, but not with images that have fewer than 8
 bits per sample. Alpha samples are represented with the same bit
 depth used for the image samples. The alpha sample for each pixel
 is stored immediately following the grayscale or RGB samples of
 the pixel.
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RFC 2083 PNG: Portable Network Graphics March 1997
 The color values stored for a pixel are not affected by the alpha
 value assigned to the pixel. This rule is sometimes called
 "unassociated" or "non-premultiplied" alpha. (Another common
 technique is to store sample values premultiplied by the alpha
 fraction; in effect, such an image is already composited against a
 black background. PNG does not use premultiplied alpha.)
 Transparency control is also possible without the storage cost of
 a full alpha channel. In an indexed-color image, an alpha value
 can be defined for each palette entry. In grayscale and truecolor
 images, a single pixel value can be identified as being
 "transparent". These techniques are controlled by the tRNS
 ancillary chunk type.
 If no alpha channel nor tRNS chunk is present, all pixels in the
 image are to be treated as fully opaque.
 Viewers can support transparency control partially, or not at all.
 See Rationale: Non-premultiplied alpha (Section 12.8),
 Recommendations for Encoders: Alpha channel creation (Section
 9.4), and Recommendations for Decoders: Alpha channel processing
 (Section 10.8).
 2.5. Filtering
 PNG allows the image data to be filtered before it is compressed.
 Filtering can improve the compressibility of the data. The filter
 step itself does not reduce the size of the data. All PNG filters
 are strictly lossless.
 PNG defines several different filter algorithms, including "None"
 which indicates no filtering. The filter algorithm is specified
 for each scanline by a filter type byte that precedes the filtered
 scanline in the precompression datastream. An intelligent encoder
 can switch filters from one scanline to the next. The method for
 choosing which filter to employ is up to the encoder.
 See Filter Algorithms (Chapter 6) and Rationale: Filtering
 (Section 12.9).
 2.6. Interlaced data order
 A PNG image can be stored in interlaced order to allow progressive
 display. The purpose of this feature is to allow images to "fade
 in" when they are being displayed on-the-fly. Interlacing
 slightly expands the file size on average, but it gives the user a
 meaningful display much more rapidly. Note that decoders are
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RFC 2083 PNG: Portable Network Graphics March 1997
 required to be able to read interlaced images, whether or not they
 actually perform progressive display.
 With interlace method 0, pixels are stored sequentially from left
 to right, and scanlines sequentially from top to bottom (no
 interlacing).
 Interlace method 1, known as Adam7 after its author, Adam M.
 Costello, consists of seven distinct passes over the image. Each
 pass transmits a subset of the pixels in the image. The pass in
 which each pixel is transmitted is defined by replicating the
 following 8-by-8 pattern over the entire image, starting at the
 upper left corner:
 1 6 4 6 2 6 4 6
 7 7 7 7 7 7 7 7
 5 6 5 6 5 6 5 6
 7 7 7 7 7 7 7 7
 3 6 4 6 3 6 4 6
 7 7 7 7 7 7 7 7
 5 6 5 6 5 6 5 6
 7 7 7 7 7 7 7 7
 Within each pass, the selected pixels are transmitted left to
 right within a scanline, and selected scanlines sequentially from
 top to bottom. For example, pass 2 contains pixels 4, 12, 20,
 etc. of scanlines 0, 8, 16, etc. (numbering from 0,0 at the upper
 left corner). The last pass contains the entirety of scanlines 1,
 3, 5, etc.
 The data within each pass is laid out as though it were a complete
 image of the appropriate dimensions. For example, if the complete
 image is 16 by 16 pixels, then pass 3 will contain two scanlines,
 each containing four pixels. When pixels have fewer than 8 bits,
 each such scanline is padded as needed to fill an integral number
 of bytes (see Image layout, Section 2.3). Filtering is done on
 this reduced image in the usual way, and a filter type byte is
 transmitted before each of its scanlines (see Filter Algorithms,
 Chapter 6). Notice that the transmission order is defined so that
 all the scanlines transmitted in a pass will have the same number
 of pixels; this is necessary for proper application of some of the
 filters.
 Caution: If the image contains fewer than five columns or fewer
 than five rows, some passes will be entirely empty. Encoders and
 decoders must handle this case correctly. In particular, filter
 type bytes are only associated with nonempty scanlines; no filter
 type bytes are present in an empty pass.
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RFC 2083 PNG: Portable Network Graphics March 1997
 See Rationale: Interlacing (Section 12.6) and Recommendations for
 Decoders: Progressive display (Section 10.9).
 2.7. Gamma correction
 PNG images can specify, via the gAMA chunk, the gamma
 characteristic of the image with respect to the original scene.
 Display programs are strongly encouraged to use this information,
 plus information about the display device they are using and room
 lighting, to present the image to the viewer in a way that
 reproduces what the image's original author saw as closely as
 possible. See Gamma Tutorial (Chapter 13) if you aren't already
 familiar with gamma issues.
 Gamma correction is not applied to the alpha channel, if any.
 Alpha samples always represent a linear fraction of full opacity.
 For high-precision applications, the exact chromaticity of the RGB
 data in a PNG image can be specified via the cHRM chunk, allowing
 more accurate color matching than gamma correction alone will
 provide. See Color Tutorial (Chapter 14) if you aren't already
 familiar with color representation issues.
 See Rationale: Why gamma? (Section 12.7), Recommendations for
 Encoders: Encoder gamma handling (Section 9.2), and
 Recommendations for Decoders: Decoder gamma handling (Section
 10.5).
 2.8. Text strings
 A PNG file can store text associated with the image, such as an
 image description or copyright notice. Keywords are used to
 indicate what each text string represents.
 ISO 8859-1 (Latin-1) is the character set recommended for use in
 text strings [ISO-8859]. This character set is a superset of 7-
 bit ASCII.
 Character codes not defined in Latin-1 should not be used, because
 they have no platform-independent meaning. If a non-Latin-1 code
 does appear in a PNG text string, its interpretation will vary
 across platforms and decoders. Some systems might not even be
 able to display all the characters in Latin-1, but most modern
 systems can.
 Provision is also made for the storage of compressed text.
 See Rationale: Text strings (Section 12.10).
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RFC 2083 PNG: Portable Network Graphics March 1997
3. File Structure
 A PNG file consists of a PNG signature followed by a series of
 chunks. This chapter defines the signature and the basic properties
 of chunks. Individual chunk types are discussed in the next chapter.
 3.1. PNG file signature
 The first eight bytes of a PNG file always contain the following
 (decimal) values:
 137 80 78 71 13 10 26 10
 This signature indicates that the remainder of the file contains a
 single PNG image, consisting of a series of chunks beginning with
 an IHDR chunk and ending with an IEND chunk.
 See Rationale: PNG file signature (Section 12.11).
 3.2. Chunk layout
 Each chunk consists of four parts:
 Length
 A 4-byte unsigned integer giving the number of bytes in the
 chunk's data field. The length counts only the data field, not
 itself, the chunk type code, or the CRC. Zero is a valid
 length. Although encoders and decoders should treat the length
 as unsigned, its value must not exceed (2^31)-1 bytes.
 Chunk Type
 A 4-byte chunk type code. For convenience in description and
 in examining PNG files, type codes are restricted to consist of
 uppercase and lowercase ASCII letters (A-Z and a-z, or 65-90
 and 97-122 decimal). However, encoders and decoders must treat
 the codes as fixed binary values, not character strings. For
 example, it would not be correct to represent the type code
 IDAT by the EBCDIC equivalents of those letters. Additional
 naming conventions for chunk types are discussed in the next
 section.
 Chunk Data
 The data bytes appropriate to the chunk type, if any. This
 field can be of zero length.
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RFC 2083 PNG: Portable Network Graphics March 1997
 CRC
 A 4-byte CRC (Cyclic Redundancy Check) calculated on the
 preceding bytes in the chunk, including the chunk type code and
 chunk data fields, but not including the length field. The CRC
 is always present, even for chunks containing no data. See CRC
 algorithm (Section 3.4).
 The chunk data length can be any number of bytes up to the
 maximum; therefore, implementors cannot assume that chunks are
 aligned on any boundaries larger than bytes.
 Chunks can appear in any order, subject to the restrictions placed
 on each chunk type. (One notable restriction is that IHDR must
 appear first and IEND must appear last; thus the IEND chunk serves
 as an end-of-file marker.) Multiple chunks of the same type can
 appear, but only if specifically permitted for that type.
 See Rationale: Chunk layout (Section 12.12).
 3.3. Chunk naming conventions
 Chunk type codes are assigned so that a decoder can determine some
 properties of a chunk even when it does not recognize the type
 code. These rules are intended to allow safe, flexible extension
 of the PNG format, by allowing a decoder to decide what to do when
 it encounters an unknown chunk. The naming rules are not normally
 of interest when the decoder does recognize the chunk's type.
 Four bits of the type code, namely bit 5 (value 32) of each byte,
 are used to convey chunk properties. This choice means that a
 human can read off the assigned properties according to whether
 each letter of the type code is uppercase (bit 5 is 0) or
 lowercase (bit 5 is 1). However, decoders should test the
 properties of an unknown chunk by numerically testing the
 specified bits; testing whether a character is uppercase or
 lowercase is inefficient, and even incorrect if a locale-specific
 case definition is used.
 It is worth noting that the property bits are an inherent part of
 the chunk name, and hence are fixed for any chunk type. Thus,
 TEXT and Text would be unrelated chunk type codes, not the same
 chunk with different properties. Decoders must recognize type
 codes by a simple four-byte literal comparison; it is incorrect to
 perform case conversion on type codes.
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RFC 2083 PNG: Portable Network Graphics March 1997
 The semantics of the property bits are:
 Ancillary bit: bit 5 of first byte
 0 (uppercase) = critical, 1 (lowercase) = ancillary.
 Chunks that are not strictly necessary in order to meaningfully
 display the contents of the file are known as "ancillary"
 chunks. A decoder encountering an unknown chunk in which the
 ancillary bit is 1 can safely ignore the chunk and proceed to
 display the image. The time chunk (tIME) is an example of an
 ancillary chunk.
 Chunks that are necessary for successful display of the file's
 contents are called "critical" chunks. A decoder encountering
 an unknown chunk in which the ancillary bit is 0 must indicate
 to the user that the image contains information it cannot
 safely interpret. The image header chunk (IHDR) is an example
 of a critical chunk.
 Private bit: bit 5 of second byte
 0 (uppercase) = public, 1 (lowercase) = private.
 A public chunk is one that is part of the PNG specification or
 is registered in the list of PNG special-purpose public chunk
 types. Applications can also define private (unregistered)
 chunks for their own purposes. The names of private chunks
 must have a lowercase second letter, while public chunks will
 always be assigned names with uppercase second letters. Note
 that decoders do not need to test the private-chunk property
 bit, since it has no functional significance; it is simply an
 administrative convenience to ensure that public and private
 chunk names will not conflict. See Additional chunk types
 (Section 4.4) and Recommendations for Encoders: Use of private
 chunks (Section 9.8).
 Reserved bit: bit 5 of third byte
 Must be 0 (uppercase) in files conforming to this version of
 PNG.
 The significance of the case of the third letter of the chunk
 name is reserved for possible future expansion. At the present
 time all chunk names must have uppercase third letters.
 (Decoders should not complain about a lowercase third letter,
 however, as some future version of the PNG specification could
 define a meaning for this bit. It is sufficient to treat a
 chunk with a lowercase third letter in the same way as any
 other unknown chunk type.)
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RFC 2083 PNG: Portable Network Graphics March 1997
 Safe-to-copy bit: bit 5 of fourth byte
 0 (uppercase) = unsafe to copy, 1 (lowercase) = safe to copy.
 This property bit is not of interest to pure decoders, but it
 is needed by PNG editors (programs that modify PNG files).
 This bit defines the proper handling of unrecognized chunks in
 a file that is being modified.
 If a chunk's safe-to-copy bit is 1, the chunk may be copied to
 a modified PNG file whether or not the software recognizes the
 chunk type, and regardless of the extent of the file
 modifications.
 If a chunk's safe-to-copy bit is 0, it indicates that the chunk
 depends on the image data. If the program has made any changes
 to critical chunks, including addition, modification, deletion,
 or reordering of critical chunks, then unrecognized unsafe
 chunks must not be copied to the output PNG file. (Of course,
 if the program does recognize the chunk, it can choose to
 output an appropriately modified version.)
 A PNG editor is always allowed to copy all unrecognized chunks
 if it has only added, deleted, modified, or reordered ancillary
 chunks. This implies that it is not permissible for ancillary
 chunks to depend on other ancillary chunks.
 PNG editors that do not recognize a critical chunk must report
 an error and refuse to process that PNG file at all. The
 safe/unsafe mechanism is intended for use with ancillary
 chunks. The safe-to-copy bit will always be 0 for critical
 chunks.
 Rules for PNG editors are discussed further in Chunk Ordering
 Rules (Chapter 7).
 For example, the hypothetical chunk type name "bLOb" has the
 property bits:
 bLOb <-- 32 bit chunk type code represented in text form
 ||||
 |||+- Safe-to-copy bit is 1 (lower case letter; bit 5 is 1)
 ||+-- Reserved bit is 0 (upper case letter; bit 5 is 0)
 |+--- Private bit is 0 (upper case letter; bit 5 is 0)
 +---- Ancillary bit is 1 (lower case letter; bit 5 is 1)
 Therefore, this name represents an ancillary, public, safe-to-copy
 chunk.
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RFC 2083 PNG: Portable Network Graphics March 1997
 See Rationale: Chunk naming conventions (Section 12.13).
 3.4. CRC algorithm
 Chunk CRCs are calculated using standard CRC methods with pre and
 post conditioning, as defined by ISO 3309 [ISO-3309] or ITU-T V.42
 [ITU-V42]. The CRC polynomial employed is
 x^32+x^26+x^23+x^22+x^16+x^12+x^11+x^10+x^8+x^7+x^5+x^4+x^2+x+1
 The 32-bit CRC register is initialized to all 1's, and then the
 data from each byte is processed from the least significant bit
 (1) to the most significant bit (128). After all the data bytes
 are processed, the CRC register is inverted (its ones complement
 is taken). This value is transmitted (stored in the file) MSB
 first. For the purpose of separating into bytes and ordering, the
 least significant bit of the 32-bit CRC is defined to be the
 coefficient of the x^31 term.
 Practical calculation of the CRC always employs a precalculated
 table to greatly accelerate the computation. See Sample CRC Code
 (Chapter 15).
4. Chunk Specifications
 This chapter defines the standard types of PNG chunks.
 4.1. Critical chunks
 All implementations must understand and successfully render the
 standard critical chunks. A valid PNG image must contain an IHDR
 chunk, one or more IDAT chunks, and an IEND chunk.
 4.1.1. IHDR Image header
 The IHDR chunk must appear FIRST. It contains:
 Width: 4 bytes
 Height: 4 bytes
 Bit depth: 1 byte
 Color type: 1 byte
 Compression method: 1 byte
 Filter method: 1 byte
 Interlace method: 1 byte
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RFC 2083 PNG: Portable Network Graphics March 1997
 Width and height give the image dimensions in pixels. They are
 4-byte integers. Zero is an invalid value. The maximum for each
 is (2^31)-1 in order to accommodate languages that have
 difficulty with unsigned 4-byte values.
 Bit depth is a single-byte integer giving the number of bits
 per sample or per palette index (not per pixel). Valid values
 are 1, 2, 4, 8, and 16, although not all values are allowed for
 all color types.
 Color type is a single-byte integer that describes the
 interpretation of the image data. Color type codes represent
 sums of the following values: 1 (palette used), 2 (color used),
 and 4 (alpha channel used). Valid values are 0, 2, 3, 4, and 6.
 Bit depth restrictions for each color type are imposed to
 simplify implementations and to prohibit combinations that do
 not compress well. Decoders must support all legal
 combinations of bit depth and color type. The allowed
 combinations are:
 Color Allowed Interpretation
 Type Bit Depths
 0 1,2,4,8,16 Each pixel is a grayscale sample.
 2 8,16 Each pixel is an R,G,B triple.
 3 1,2,4,8 Each pixel is a palette index;
 a PLTE chunk must appear.
 4 8,16 Each pixel is a grayscale sample,
 followed by an alpha sample.
 6 8,16 Each pixel is an R,G,B triple,
 followed by an alpha sample.
 The sample depth is the same as the bit depth except in the
 case of color type 3, in which the sample depth is always 8
 bits.
 Compression method is a single-byte integer that indicates the
 method used to compress the image data. At present, only
 compression method 0 (deflate/inflate compression with a 32K
 sliding window) is defined. All standard PNG images must be
 compressed with this scheme. The compression method field is
 provided for possible future expansion or proprietary variants.
 Decoders must check this byte and report an error if it holds
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RFC 2083 PNG: Portable Network Graphics March 1997
 an unrecognized code. See Deflate/Inflate Compression (Chapter
 5) for details.
 Filter method is a single-byte integer that indicates the
 preprocessing method applied to the image data before
 compression. At present, only filter method 0 (adaptive
 filtering with five basic filter types) is defined. As with
 the compression method field, decoders must check this byte and
 report an error if it holds an unrecognized code. See Filter
 Algorithms (Chapter 6) for details.
 Interlace method is a single-byte integer that indicates the
 transmission order of the image data. Two values are currently
 defined: 0 (no interlace) or 1 (Adam7 interlace). See
 Interlaced data order (Section 2.6) for details.
 4.1.2. PLTE Palette
 The PLTE chunk contains from 1 to 256 palette entries, each a
 three-byte series of the form:
 Red: 1 byte (0 = black, 255 = red)
 Green: 1 byte (0 = black, 255 = green)
 Blue: 1 byte (0 = black, 255 = blue)
 The number of entries is determined from the chunk length. A
 chunk length not divisible by 3 is an error.
 This chunk must appear for color type 3, and can appear for
 color types 2 and 6; it must not appear for color types 0 and
 4. If this chunk does appear, it must precede the first IDAT
 chunk. There must not be more than one PLTE chunk.
 For color type 3 (indexed color), the PLTE chunk is required.
 The first entry in PLTE is referenced by pixel value 0, the
 second by pixel value 1, etc. The number of palette entries
 must not exceed the range that can be represented in the image
 bit depth (for example, 2^4 = 16 for a bit depth of 4). It is
 permissible to have fewer entries than the bit depth would
 allow. In that case, any out-of-range pixel value found in the
 image data is an error.
 For color types 2 and 6 (truecolor and truecolor with alpha),
 the PLTE chunk is optional. If present, it provides a
 suggested set of from 1 to 256 colors to which the truecolor
 image can be quantized if the viewer cannot display truecolor
 directly. If PLTE is not present, such a viewer will need to
 select colors on its own, but it is often preferable for this
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RFC 2083 PNG: Portable Network Graphics March 1997
 to be done once by the encoder. (See Recommendations for
 Encoders: Suggested palettes, Section 9.5.)
 Note that the palette uses 8 bits (1 byte) per sample
 regardless of the image bit depth specification. In
 particular, the palette is 8 bits deep even when it is a
 suggested quantization of a 16-bit truecolor image.
 There is no requirement that the palette entries all be used by
 the image, nor that they all be different.
 4.1.3. IDAT Image data
 The IDAT chunk contains the actual image data. To create this
 data:
 * Begin with image scanlines represented as described in
 Image layout (Section 2.3); the layout and total size of
 this raw data are determined by the fields of IHDR.
 * Filter the image data according to the filtering method
 specified by the IHDR chunk. (Note that with filter
 method 0, the only one currently defined, this implies
 prepending a filter type byte to each scanline.)
 * Compress the filtered data using the compression method
 specified by the IHDR chunk.
 The IDAT chunk contains the output datastream of the
 compression algorithm.
 To read the image data, reverse this process.
 There can be multiple IDAT chunks; if so, they must appear
 consecutively with no other intervening chunks. The compressed
 datastream is then the concatenation of the contents of all the
 IDAT chunks. The encoder can divide the compressed datastream
 into IDAT chunks however it wishes. (Multiple IDAT chunks are
 allowed so that encoders can work in a fixed amount of memory;
 typically the chunk size will correspond to the encoder's
 buffer size.) It is important to emphasize that IDAT chunk
 boundaries have no semantic significance and can occur at any
 point in the compressed datastream. A PNG file in which each
 IDAT chunk contains only one data byte is legal, though
 remarkably wasteful of space. (For that matter, zero-length
 IDAT chunks are legal, though even more wasteful.)
 See Filter Algorithms (Chapter 6) and Deflate/Inflate
 Compression (Chapter 5) for details.
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RFC 2083 PNG: Portable Network Graphics March 1997
 4.1.4. IEND Image trailer
 The IEND chunk must appear LAST. It marks the end of the PNG
 datastream. The chunk's data field is empty.
 4.2. Ancillary chunks
 All ancillary chunks are optional, in the sense that encoders need
 not write them and decoders can ignore them. However, encoders
 are encouraged to write the standard ancillary chunks when the
 information is available, and decoders are encouraged to interpret
 these chunks when appropriate and feasible.
 The standard ancillary chunks are listed in alphabetical order.
 This is not necessarily the order in which they would appear in a
 file.
 4.2.1. bKGD Background color
 The bKGD chunk specifies a default background color to present
 the image against. Note that viewers are not bound to honor
 this chunk; a viewer can choose to use a different background.
 For color type 3 (indexed color), the bKGD chunk contains:
 Palette index: 1 byte
 The value is the palette index of the color to be used as
 background.
 For color types 0 and 4 (grayscale, with or without alpha),
 bKGD contains:
 Gray: 2 bytes, range 0 .. (2^bitdepth)-1
 (For consistency, 2 bytes are used regardless of the image bit
 depth.) The value is the gray level to be used as background.
 For color types 2 and 6 (truecolor, with or without alpha),
 bKGD contains:
 Red: 2 bytes, range 0 .. (2^bitdepth)-1
 Green: 2 bytes, range 0 .. (2^bitdepth)-1
 Blue: 2 bytes, range 0 .. (2^bitdepth)-1
 (For consistency, 2 bytes per sample are used regardless of the
 image bit depth.) This is the RGB color to be used as
 background.
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RFC 2083 PNG: Portable Network Graphics March 1997
 When present, the bKGD chunk must precede the first IDAT chunk,
 and must follow the PLTE chunk, if any.
 See Recommendations for Decoders: Background color (Section
 10.7).
 4.2.2. cHRM Primary chromaticities and white point
 Applications that need device-independent specification of
 colors in a PNG file can use the cHRM chunk to specify the 1931
 CIE x,y chromaticities of the red, green, and blue primaries
 used in the image, and the referenced white point. See Color
 Tutorial (Chapter 14) for more information.
 The cHRM chunk contains:
 White Point x: 4 bytes
 White Point y: 4 bytes
 Red x: 4 bytes
 Red y: 4 bytes
 Green x: 4 bytes
 Green y: 4 bytes
 Blue x: 4 bytes
 Blue y: 4 bytes
 Each value is encoded as a 4-byte unsigned integer,
 representing the x or y value times 100000. For example, a
 value of 0.3127 would be stored as the integer 31270.
 cHRM is allowed in all PNG files, although it is of little
 value for grayscale images.
 If the encoder does not know the chromaticity values, it should
 not write a cHRM chunk; the absence of a cHRM chunk indicates
 that the image's primary colors are device-dependent.
 If the cHRM chunk appears, it must precede the first IDAT
 chunk, and it must also precede the PLTE chunk if present.
 See Recommendations for Encoders: Encoder color handling
 (Section 9.3), and Recommendations for Decoders: Decoder color
 handling (Section 10.6).
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RFC 2083 PNG: Portable Network Graphics March 1997
 4.2.3. gAMA Image gamma
 The gAMA chunk specifies the gamma of the camera (or simulated
 camera) that produced the image, and thus the gamma of the
 image with respect to the original scene. More precisely, the
 gAMA chunk encodes the file_gamma value, as defined in Gamma
 Tutorial (Chapter 13).
 The gAMA chunk contains:
 Image gamma: 4 bytes
 The value is encoded as a 4-byte unsigned integer, representing
 gamma times 100000. For example, a gamma of 0.45 would be
 stored as the integer 45000.
 If the encoder does not know the image's gamma value, it should
 not write a gAMA chunk; the absence of a gAMA chunk indicates
 that the gamma is unknown.
 If the gAMA chunk appears, it must precede the first IDAT
 chunk, and it must also precede the PLTE chunk if present.
 See Gamma correction (Section 2.7), Recommendations for
 Encoders: Encoder gamma handling (Section 9.2), and
 Recommendations for Decoders: Decoder gamma handling (Section
 10.5).
 4.2.4. hIST Image histogram
 The hIST chunk gives the approximate usage frequency of each
 color in the color palette. A histogram chunk can appear only
 when a palette chunk appears. If a viewer is unable to provide
 all the colors listed in the palette, the histogram may help it
 decide how to choose a subset of the colors for display.
 The hIST chunk contains a series of 2-byte (16 bit) unsigned
 integers. There must be exactly one entry for each entry in
 the PLTE chunk. Each entry is proportional to the fraction of
 pixels in the image that have that palette index; the exact
 scale factor is chosen by the encoder.
 Histogram entries are approximate, with the exception that a
 zero entry specifies that the corresponding palette entry is
 not used at all in the image. It is required that a histogram
 entry be nonzero if there are any pixels of that color.
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RFC 2083 PNG: Portable Network Graphics March 1997
 When the palette is a suggested quantization of a truecolor
 image, the histogram is necessarily approximate, since a
 decoder may map pixels to palette entries differently than the
 encoder did. In this situation, zero entries should not
 appear.
 The hIST chunk, if it appears, must follow the PLTE chunk, and
 must precede the first IDAT chunk.
 See Rationale: Palette histograms (Section 12.14), and
 Recommendations for Decoders: Suggested-palette and histogram
 usage (Section 10.10).
 4.2.5. pHYs Physical pixel dimensions
 The pHYs chunk specifies the intended pixel size or aspect
 ratio for display of the image. It contains:
 Pixels per unit, X axis: 4 bytes (unsigned integer)
 Pixels per unit, Y axis: 4 bytes (unsigned integer)
 Unit specifier: 1 byte
 The following values are legal for the unit specifier:
 0: unit is unknown
 1: unit is the meter
 When the unit specifier is 0, the pHYs chunk defines pixel
 aspect ratio only; the actual size of the pixels remains
 unspecified.
 Conversion note: one inch is equal to exactly 0.0254 meters.
 If this ancillary chunk is not present, pixels are assumed to
 be square, and the physical size of each pixel is unknown.
 If present, this chunk must precede the first IDAT chunk.
 See Recommendations for Decoders: Pixel dimensions (Section
 10.2).
 4.2.6. sBIT Significant bits
 To simplify decoders, PNG specifies that only certain sample
 depths can be used, and further specifies that sample values
 should be scaled to the full range of possible values at the
 sample depth. However, the sBIT chunk is provided in order to
 store the original number of significant bits. This allows
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RFC 2083 PNG: Portable Network Graphics March 1997
 decoders to recover the original data losslessly even if the
 data had a sample depth not directly supported by PNG. We
 recommend that an encoder emit an sBIT chunk if it has
 converted the data from a lower sample depth.
 For color type 0 (grayscale), the sBIT chunk contains a single
 byte, indicating the number of bits that were significant in
 the source data.
 For color type 2 (truecolor), the sBIT chunk contains three
 bytes, indicating the number of bits that were significant in
 the source data for the red, green, and blue channels,
 respectively.
 For color type 3 (indexed color), the sBIT chunk contains three
 bytes, indicating the number of bits that were significant in
 the source data for the red, green, and blue components of the
 palette entries, respectively.
 For color type 4 (grayscale with alpha channel), the sBIT chunk
 contains two bytes, indicating the number of bits that were
 significant in the source grayscale data and the source alpha
 data, respectively.
 For color type 6 (truecolor with alpha channel), the sBIT chunk
 contains four bytes, indicating the number of bits that were
 significant in the source data for the red, green, blue and
 alpha channels, respectively.
 Each depth specified in sBIT must be greater than zero and less
 than or equal to the sample depth (which is 8 for indexed-color
 images, and the bit depth given in IHDR for other color types).
 A decoder need not pay attention to sBIT: the stored image is a
 valid PNG file of the sample depth indicated by IHDR. However,
 if the decoder wishes to recover the original data at its
 original precision, this can be done by right-shifting the
 stored samples (the stored palette entries, for an indexed-
 color image). The encoder must scale the data in such a way
 that the high-order bits match the original data.
 If the sBIT chunk appears, it must precede the first IDAT
 chunk, and it must also precede the PLTE chunk if present.
 See Recommendations for Encoders: Sample depth scaling (Section
 9.1) and Recommendations for Decoders: Sample depth rescaling
 (Section 10.4).
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RFC 2083 PNG: Portable Network Graphics March 1997
 4.2.7. tEXt Textual data
 Textual information that the encoder wishes to record with the
 image can be stored in tEXt chunks. Each tEXt chunk contains a
 keyword and a text string, in the format:
 Keyword: 1-79 bytes (character string)
 Null separator: 1 byte
 Text: n bytes (character string)
 The keyword and text string are separated by a zero byte (null
 character). Neither the keyword nor the text string can
 contain a null character. Note that the text string is not
 null-terminated (the length of the chunk is sufficient
 information to locate the ending). The keyword must be at
 least one character and less than 80 characters long. The text
 string can be of any length from zero bytes up to the maximum
 permissible chunk size less the length of the keyword and
 separator.
 Any number of tEXt chunks can appear, and more than one with
 the same keyword is permissible.
 The keyword indicates the type of information represented by
 the text string. The following keywords are predefined and
 should be used where appropriate:
 Title Short (one line) title or caption for image
 Author Name of image's creator
 Description Description of image (possibly long)
 Copyright Copyright notice
 Creation Time Time of original image creation
 Software Software used to create the image
 Disclaimer Legal disclaimer
 Warning Warning of nature of content
 Source Device used to create the image
 Comment Miscellaneous comment; conversion from
 GIF comment
 For the Creation Time keyword, the date format defined in
 section 5.2.14 of RFC 1123 is suggested, but not required
 [RFC-1123]. Decoders should allow for free-format text
 associated with this or any other keyword.
 Other keywords may be invented for other purposes. Keywords of
 general interest can be registered with the maintainers of the
 PNG specification. However, it is also permitted to use
 private unregistered keywords. (Private keywords should be
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RFC 2083 PNG: Portable Network Graphics March 1997
 reasonably self-explanatory, in order to minimize the chance
 that the same keyword will be used for incompatible purposes by
 different people.)
 Both keyword and text are interpreted according to the ISO
 8859-1 (Latin-1) character set [ISO-8859]. The text string can
 contain any Latin-1 character. Newlines in the text string
 should be represented by a single linefeed character (decimal
 10); use of other control characters in the text is
 discouraged.
 Keywords must contain only printable Latin-1 characters and
 spaces; that is, only character codes 32-126 and 161-255
 decimal are allowed. To reduce the chances for human
 misreading of a keyword, leading and trailing spaces are
 forbidden, as are consecutive spaces. Note also that the non-
 breaking space (code 160) is not permitted in keywords, since
 it is visually indistinguishable from an ordinary space.
 Keywords must be spelled exactly as registered, so that
 decoders can use simple literal comparisons when looking for
 particular keywords. In particular, keywords are considered
 case-sensitive.
 See Recommendations for Encoders: Text chunk processing
 (Section 9.7) and Recommendations for Decoders: Text chunk
 processing (Section 10.11).
 4.2.8. tIME Image last-modification time
 The tIME chunk gives the time of the last image modification
 (not the time of initial image creation). It contains:
 Year: 2 bytes (complete; for example, 1995, not 95)
 Month: 1 byte (1-12)
 Day: 1 byte (1-31)
 Hour: 1 byte (0-23)
 Minute: 1 byte (0-59)
 Second: 1 byte (0-60) (yes, 60, for leap seconds; not 61,
 a common error)
 Universal Time (UTC, also called GMT) should be specified
 rather than local time.
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RFC 2083 PNG: Portable Network Graphics March 1997
 The tIME chunk is intended for use as an automatically-applied
 time stamp that is updated whenever the image data is changed.
 It is recommended that tIME not be changed by PNG editors that
 do not change the image data. See also the Creation Time tEXt
 keyword, which can be used for a user-supplied time.
 4.2.9. tRNS Transparency
 The tRNS chunk specifies that the image uses simple
 transparency: either alpha values associated with palette
 entries (for indexed-color images) or a single transparent
 color (for grayscale and truecolor images). Although simple
 transparency is not as elegant as the full alpha channel, it
 requires less storage space and is sufficient for many common
 cases.
 For color type 3 (indexed color), the tRNS chunk contains a
 series of one-byte alpha values, corresponding to entries in
 the PLTE chunk:
 Alpha for palette index 0: 1 byte
 Alpha for palette index 1: 1 byte
 ... etc ...
 Each entry indicates that pixels of the corresponding palette
 index must be treated as having the specified alpha value.
 Alpha values have the same interpretation as in an 8-bit full
 alpha channel: 0 is fully transparent, 255 is fully opaque,
 regardless of image bit depth. The tRNS chunk must not contain
 more alpha values than there are palette entries, but tRNS can
 contain fewer values than there are palette entries. In this
 case, the alpha value for all remaining palette entries is
 assumed to be 255. In the common case in which only palette
 index 0 need be made transparent, only a one-byte tRNS chunk is
 needed.
 For color type 0 (grayscale), the tRNS chunk contains a single
 gray level value, stored in the format:
 Gray: 2 bytes, range 0 .. (2^bitdepth)-1
 (For consistency, 2 bytes are used regardless of the image bit
 depth.) Pixels of the specified gray level are to be treated as
 transparent (equivalent to alpha value 0); all other pixels are
 to be treated as fully opaque (alpha value (2^bitdepth)-1).
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RFC 2083 PNG: Portable Network Graphics March 1997
 For color type 2 (truecolor), the tRNS chunk contains a single
 RGB color value, stored in the format:
 Red: 2 bytes, range 0 .. (2^bitdepth)-1
 Green: 2 bytes, range 0 .. (2^bitdepth)-1
 Blue: 2 bytes, range 0 .. (2^bitdepth)-1
 (For consistency, 2 bytes per sample are used regardless of the
 image bit depth.) Pixels of the specified color value are to be
 treated as transparent (equivalent to alpha value 0); all other
 pixels are to be treated as fully opaque (alpha value
 (2^bitdepth)-1).
 tRNS is prohibited for color types 4 and 6, since a full alpha
 channel is already present in those cases.
 Note: when dealing with 16-bit grayscale or truecolor data, it
 is important to compare both bytes of the sample values to
 determine whether a pixel is transparent. Although decoders
 may drop the low-order byte of the samples for display, this
 must not occur until after the data has been tested for
 transparency. For example, if the grayscale level 0x0001 is
 specified to be transparent, it would be incorrect to compare
 only the high-order byte and decide that 0x0002 is also
 transparent.
 When present, the tRNS chunk must precede the first IDAT chunk,
 and must follow the PLTE chunk, if any.
 4.2.10. zTXt Compressed textual data
 The zTXt chunk contains textual data, just as tEXt does;
 however, zTXt takes advantage of compression. zTXt and tEXt
 chunks are semantically equivalent, but zTXt is recommended for
 storing large blocks of text.
 A zTXt chunk contains:
 Keyword: 1-79 bytes (character string)
 Null separator: 1 byte
 Compression method: 1 byte
 Compressed text: n bytes
 The keyword and null separator are exactly the same as in the
 tEXt chunk. Note that the keyword is not compressed. The
 compression method byte identifies the compression method used
 in this zTXt chunk. The only value presently defined for it is
 0 (deflate/inflate compression). The compression method byte is
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RFC 2083 PNG: Portable Network Graphics March 1997
 followed by a compressed datastream that makes up the remainder
 of the chunk. For compression method 0, this datastream
 adheres to the zlib datastream format (see Deflate/Inflate
 Compression, Chapter 5). Decompression of this datastream
 yields Latin-1 text that is identical to the text that would be
 stored in an equivalent tEXt chunk.
 Any number of zTXt and tEXt chunks can appear in the same file.
 See the preceding definition of the tEXt chunk for the
 predefined keywords and the recommended format of the text.
 See Recommendations for Encoders: Text chunk processing
 (Section 9.7), and Recommendations for Decoders: Text chunk
 processing (Section 10.11).
 4.3. Summary of standard chunks
 This table summarizes some properties of the standard chunk types.
 Critical chunks (must appear in this order, except PLTE
 is optional):
 Name Multiple Ordering constraints
 OK?
 IHDR No Must be first
 PLTE No Before IDAT
 IDAT Yes Multiple IDATs must be consecutive
 IEND No Must be last
 Ancillary chunks (need not appear in this order):
 Name Multiple Ordering constraints
 OK?
 cHRM No Before PLTE and IDAT
 gAMA No Before PLTE and IDAT
 sBIT No Before PLTE and IDAT
 bKGD No After PLTE; before IDAT
 hIST No After PLTE; before IDAT
 tRNS No After PLTE; before IDAT
 pHYs No Before IDAT
 tIME No None
 tEXt Yes None
 zTXt Yes None
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RFC 2083 PNG: Portable Network Graphics March 1997
 Standard keywords for tEXt and zTXt chunks:
 Title Short (one line) title or caption for image
 Author Name of image's creator
 Description Description of image (possibly long)
 Copyright Copyright notice
 Creation Time Time of original image creation
 Software Software used to create the image
 Disclaimer Legal disclaimer
 Warning Warning of nature of content
 Source Device used to create the image
 Comment Miscellaneous comment; conversion from
 GIF comment
 4.4. Additional chunk types
 Additional public PNG chunk types are defined in the document "PNG
 Special-Purpose Public Chunks" [PNG-EXTENSIONS]. Chunks described
 there are expected to be less widely supported than those defined
 in this specification. However, application authors are
 encouraged to use those chunk types whenever appropriate for their
 applications. Additional chunk types can be proposed for
 inclusion in that list by contacting the PNG specification
 maintainers at png-info@uunet.uu.net or at png-group@w3.org.
 New public chunks will only be registered if they are of use to
 others and do not violate the design philosophy of PNG. Chunk
 registration is not automatic, although it is the intent of the
 authors that it be straightforward when a new chunk of potentially
 wide application is needed. Note that the creation of new
 critical chunk types is discouraged unless absolutely necessary.
 Applications can also use private chunk types to carry data that
 is not of interest to other applications. See Recommendations for
 Encoders: Use of private chunks (Section 9.8).
 Decoders must be prepared to encounter unrecognized public or
 private chunk type codes. Unrecognized chunk types must be
 handled as described in Chunk naming conventions (Section 3.3).
5. Deflate/Inflate Compression
 PNG compression method 0 (the only compression method presently
 defined for PNG) specifies deflate/inflate compression with a 32K
 sliding window. Deflate compression is an LZ77 derivative used in
 zip, gzip, pkzip and related programs. Extensive research has been
 done supporting its patent-free status. Portable C implementations
 are freely available.
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RFC 2083 PNG: Portable Network Graphics March 1997
 Deflate-compressed datastreams within PNG are stored in the "zlib"
 format, which has the structure:
 Compression method/flags code: 1 byte
 Additional flags/check bits: 1 byte
 Compressed data blocks: n bytes
 Check value: 4 bytes
 Further details on this format are given in the zlib specification
 [RFC-1950].
 For PNG compression method 0, the zlib compression method/flags code
 must specify method code 8 ("deflate" compression) and an LZ77 window
 size of not more than 32K. Note that the zlib compression method
 number is not the same as the PNG compression method number. The
 additional flags must not specify a preset dictionary.
 The compressed data within the zlib datastream is stored as a series
 of blocks, each of which can represent raw (uncompressed) data,
 LZ77-compressed data encoded with fixed Huffman codes, or LZ77-
 compressed data encoded with custom Huffman codes. A marker bit in
 the final block identifies it as the last block, allowing the decoder
 to recognize the end of the compressed datastream. Further details
 on the compression algorithm and the encoding are given in the
 deflate specification [RFC-1951].
 The check value stored at the end of the zlib datastream is
 calculated on the uncompressed data represented by the datastream.
 Note that the algorithm used is not the same as the CRC calculation
 used for PNG chunk check values. The zlib check value is useful
 mainly as a cross-check that the deflate and inflate algorithms are
 implemented correctly. Verifying the chunk CRCs provides adequate
 confidence that the PNG file has been transmitted undamaged.
 In a PNG file, the concatenation of the contents of all the IDAT
 chunks makes up a zlib datastream as specified above. This
 datastream decompresses to filtered image data as described elsewhere
 in this document.
 It is important to emphasize that the boundaries between IDAT chunks
 are arbitrary and can fall anywhere in the zlib datastream. There is
 not necessarily any correlation between IDAT chunk boundaries and
 deflate block boundaries or any other feature of the zlib data. For
 example, it is entirely possible for the terminating zlib check value
 to be split across IDAT chunks.
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RFC 2083 PNG: Portable Network Graphics March 1997
 In the same vein, there is no required correlation between the
 structure of the image data (i.e., scanline boundaries) and deflate
 block boundaries or IDAT chunk boundaries. The complete image data
 is represented by a single zlib datastream that is stored in some
 number of IDAT chunks; a decoder that assumes any more than this is
 incorrect. (Of course, some encoder implementations may emit files
 in which some of these structures are indeed related. But decoders
 cannot rely on this.)
 PNG also uses zlib datastreams in zTXt chunks. In a zTXt chunk, the
 remainder of the chunk following the compression method byte is a
 zlib datastream as specified above. This datastream decompresses to
 the user-readable text described by the chunk's keyword. Unlike the
 image data, such datastreams are not split across chunks; each zTXt
 chunk contains an independent zlib datastream.
 Additional documentation and portable C code for deflate and inflate
 are available from the Info-ZIP archives at
 <URL:ftp://ftp.uu.net/pub/archiving/zip/>.
6. Filter Algorithms
 This chapter describes the filter algorithms that can be applied
 before compression. The purpose of these filters is to prepare the
 image data for optimum compression.
 6.1. Filter types
 PNG filter method 0 defines five basic filter types:
 Type Name
 0 None
 1 Sub
 2 Up
 3 Average
 4 Paeth
 (Note that filter method 0 in IHDR specifies exactly this set of
 five filter types. If the set of filter types is ever extended, a
 different filter method number will be assigned to the extended
 set, so that decoders need not decompress the data to discover
 that it contains unsupported filter types.)
 The encoder can choose which of these filter algorithms to apply
 on a scanline-by-scanline basis. In the image data sent to the
 compression step, each scanline is preceded by a filter type byte
 that specifies the filter algorithm used for that scanline.
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RFC 2083 PNG: Portable Network Graphics March 1997
 Filtering algorithms are applied to bytes, not to pixels,
 regardless of the bit depth or color type of the image. The
 filtering algorithms work on the byte sequence formed by a
 scanline that has been represented as described in Image layout
 (Section 2.3). If the image includes an alpha channel, the alpha
 data is filtered in the same way as the image data.
 When the image is interlaced, each pass of the interlace pattern
 is treated as an independent image for filtering purposes. The
 filters work on the byte sequences formed by the pixels actually
 transmitted during a pass, and the "previous scanline" is the one
 previously transmitted in the same pass, not the one adjacent in
 the complete image. Note that the subimage transmitted in any one
 pass is always rectangular, but is of smaller width and/or height
 than the complete image. Filtering is not applied when this
 subimage is empty.
 For all filters, the bytes "to the left of" the first pixel in a
 scanline must be treated as being zero. For filters that refer to
 the prior scanline, the entire prior scanline must be treated as
 being zeroes for the first scanline of an image (or of a pass of
 an interlaced image).
 To reverse the effect of a filter, the decoder must use the
 decoded values of the prior pixel on the same line, the pixel
 immediately above the current pixel on the prior line, and the
 pixel just to the left of the pixel above. This implies that at
 least one scanline's worth of image data will have to be stored by
 the decoder at all times. Even though some filter types do not
 refer to the prior scanline, the decoder will always need to store
 each scanline as it is decoded, since the next scanline might use
 a filter that refers to it.
 PNG imposes no restriction on which filter types can be applied to
 an image. However, the filters are not equally effective on all
 types of data. See Recommendations for Encoders: Filter selection
 (Section 9.6).
 See also Rationale: Filtering (Section 12.9).
 6.2. Filter type 0: None
 With the None filter, the scanline is transmitted unmodified; it
 is only necessary to insert a filter type byte before the data.
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RFC 2083 PNG: Portable Network Graphics March 1997
 6.3. Filter type 1: Sub
 The Sub filter transmits the difference between each byte and the
 value of the corresponding byte of the prior pixel.
 To compute the Sub filter, apply the following formula to each
 byte of the scanline:
 Sub(x) = Raw(x) - Raw(x-bpp)
 where x ranges from zero to the number of bytes representing the
 scanline minus one, Raw(x) refers to the raw data byte at that
 byte position in the scanline, and bpp is defined as the number of
 bytes per complete pixel, rounding up to one. For example, for
 color type 2 with a bit depth of 16, bpp is equal to 6 (three
 samples, two bytes per sample); for color type 0 with a bit depth
 of 2, bpp is equal to 1 (rounding up); for color type 4 with a bit
 depth of 16, bpp is equal to 4 (two-byte grayscale sample, plus
 two-byte alpha sample).
 Note this computation is done for each byte, regardless of bit
 depth. In a 16-bit image, each MSB is predicted from the
 preceding MSB and each LSB from the preceding LSB, because of the
 way that bpp is defined.
 Unsigned arithmetic modulo 256 is used, so that both the inputs
 and outputs fit into bytes. The sequence of Sub values is
 transmitted as the filtered scanline.
 For all x < 0, assume Raw(x) = 0.
 To reverse the effect of the Sub filter after decompression,
 output the following value:
 Sub(x) + Raw(x-bpp)
 (computed mod 256), where Raw refers to the bytes already decoded.
 6.4. Filter type 2: Up
 The Up filter is just like the Sub filter except that the pixel
 immediately above the current pixel, rather than just to its left,
 is used as the predictor.
 To compute the Up filter, apply the following formula to each byte
 of the scanline:
 Up(x) = Raw(x) - Prior(x)
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RFC 2083 PNG: Portable Network Graphics March 1997
 where x ranges from zero to the number of bytes representing the
 scanline minus one, Raw(x) refers to the raw data byte at that
 byte position in the scanline, and Prior(x) refers to the
 unfiltered bytes of the prior scanline.
 Note this is done for each byte, regardless of bit depth.
 Unsigned arithmetic modulo 256 is used, so that both the inputs
 and outputs fit into bytes. The sequence of Up values is
 transmitted as the filtered scanline.
 On the first scanline of an image (or of a pass of an interlaced
 image), assume Prior(x) = 0 for all x.
 To reverse the effect of the Up filter after decompression, output
 the following value:
 Up(x) + Prior(x)
 (computed mod 256), where Prior refers to the decoded bytes of the
 prior scanline.
 6.5. Filter type 3: Average
 The Average filter uses the average of the two neighboring pixels
 (left and above) to predict the value of a pixel.
 To compute the Average filter, apply the following formula to each
 byte of the scanline:
 Average(x) = Raw(x) - floor((Raw(x-bpp)+Prior(x))/2)
 where x ranges from zero to the number of bytes representing the
 scanline minus one, Raw(x) refers to the raw data byte at that
 byte position in the scanline, Prior(x) refers to the unfiltered
 bytes of the prior scanline, and bpp is defined as for the Sub
 filter.
 Note this is done for each byte, regardless of bit depth. The
 sequence of Average values is transmitted as the filtered
 scanline.
 The subtraction of the predicted value from the raw byte must be
 done modulo 256, so that both the inputs and outputs fit into
 bytes. However, the sum Raw(x-bpp)+Prior(x) must be formed
 without overflow (using at least nine-bit arithmetic). floor()
 indicates that the result of the division is rounded to the next
 lower integer if fractional; in other words, it is an integer
 division or right shift operation.
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RFC 2083 PNG: Portable Network Graphics March 1997
 For all x < 0, assume Raw(x) = 0. On the first scanline of an
 image (or of a pass of an interlaced image), assume Prior(x) = 0
 for all x.
 To reverse the effect of the Average filter after decompression,
 output the following value:
 Average(x) + floor((Raw(x-bpp)+Prior(x))/2)
 where the result is computed mod 256, but the prediction is
 calculated in the same way as for encoding. Raw refers to the
 bytes already decoded, and Prior refers to the decoded bytes of
 the prior scanline.
 6.6. Filter type 4: Paeth
 The Paeth filter computes a simple linear function of the three
 neighboring pixels (left, above, upper left), then chooses as
 predictor the neighboring pixel closest to the computed value.
 This technique is due to Alan W. Paeth [PAETH].
 To compute the Paeth filter, apply the following formula to each
 byte of the scanline:
 Paeth(x) = Raw(x) - PaethPredictor(Raw(x-bpp), Prior(x),
 Prior(x-bpp))
 where x ranges from zero to the number of bytes representing the
 scanline minus one, Raw(x) refers to the raw data byte at that
 byte position in the scanline, Prior(x) refers to the unfiltered
 bytes of the prior scanline, and bpp is defined as for the Sub
 filter.
 Note this is done for each byte, regardless of bit depth.
 Unsigned arithmetic modulo 256 is used, so that both the inputs
 and outputs fit into bytes. The sequence of Paeth values is
 transmitted as the filtered scanline.
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 The PaethPredictor function is defined by the following
 pseudocode:
 function PaethPredictor (a, b, c)
 begin
 ; a = left, b = above, c = upper left
 p := a + b - c ; initial estimate
 pa := abs(p - a) ; distances to a, b, c
 pb := abs(p - b)
 pc := abs(p - c)
 ; return nearest of a,b,c,
 ; breaking ties in order a,b,c.
 if pa <= pb AND pa <= pc then return a
 else if pb <= pc then return b
 else return c
 end
 The calculations within the PaethPredictor function must be
 performed exactly, without overflow. Arithmetic modulo 256 is to
 be used only for the final step of subtracting the function result
 from the target byte value.
 Note that the order in which ties are broken is critical and must
 not be altered. The tie break order is: pixel to the left, pixel
 above, pixel to the upper left. (This order differs from that
 given in Paeth's article.)
 For all x < 0, assume Raw(x) = 0 and Prior(x) = 0. On the first
 scanline of an image (or of a pass of an interlaced image), assume
 Prior(x) = 0 for all x.
 To reverse the effect of the Paeth filter after decompression,
 output the following value:
 Paeth(x) + PaethPredictor(Raw(x-bpp), Prior(x), Prior(x-bpp))
 (computed mod 256), where Raw and Prior refer to bytes already
 decoded. Exactly the same PaethPredictor function is used by both
 encoder and decoder.
7. Chunk Ordering Rules
 To allow new chunk types to be added to PNG, it is necessary to
 establish rules about the ordering requirements for all chunk types.
 Otherwise a PNG editing program cannot know what to do when it
 encounters an unknown chunk.
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RFC 2083 PNG: Portable Network Graphics March 1997
 We define a "PNG editor" as a program that modifies a PNG file and
 wishes to preserve as much as possible of the ancillary information
 in the file. Two examples of PNG editors are a program that adds or
 modifies text chunks, and a program that adds a suggested palette to
 a truecolor PNG file. Ordinary image editors are not PNG editors in
 this sense, because they usually discard all unrecognized information
 while reading in an image. (Note: we strongly encourage programs
 handling PNG files to preserve ancillary information whenever
 possible.)
 As an example of possible problems, consider a hypothetical new
 ancillary chunk type that is safe-to-copy and is required to appear
 after PLTE if PLTE is present. If our program to add a suggested
 PLTE does not recognize this new chunk, it may insert PLTE in the
 wrong place, namely after the new chunk. We could prevent such
 problems by requiring PNG editors to discard all unknown chunks, but
 that is a very unattractive solution. Instead, PNG requires
 ancillary chunks not to have ordering restrictions like this.
 To prevent this type of problem while allowing for future extension,
 we put some constraints on both the behavior of PNG editors and the
 allowed ordering requirements for chunks.
 7.1. Behavior of PNG editors
 The rules for PNG editors are:
 * When copying an unknown unsafe-to-copy ancillary chunk, a
 PNG editor must not move the chunk relative to any critical
 chunk. It can relocate the chunk freely relative to other
 ancillary chunks that occur between the same pair of
 critical chunks. (This is well defined since the editor
 must not add, delete, modify, or reorder critical chunks if
 it is preserving unknown unsafe-to-copy chunks.)
 * When copying an unknown safe-to-copy ancillary chunk, a PNG
 editor must not move the chunk from before IDAT to after
 IDAT or vice versa. (This is well defined because IDAT is
 always present.) Any other reordering is permitted.
 * When copying a known ancillary chunk type, an editor need
 only honor the specific chunk ordering rules that exist for
 that chunk type. However, it can always choose to apply the
 above general rules instead.
 * PNG editors must give up on encountering an unknown critical
 chunk type, because there is no way to be certain that a
 valid file will result from modifying a file containing such
 a chunk. (Note that simply discarding the chunk is not good
 enough, because it might have unknown implications for the
 interpretation of other chunks.)
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 These rules are expressed in terms of copying chunks from an input
 file to an output file, but they apply in the obvious way if a PNG
 file is modified in place.
 See also Chunk naming conventions (Section 3.3).
 7.2. Ordering of ancillary chunks
 The ordering rules for an ancillary chunk type cannot be any
 stricter than this:
 * Unsafe-to-copy chunks can have ordering requirements
 relative to critical chunks.
 * Safe-to-copy chunks can have ordering requirements relative
 to IDAT.
 The actual ordering rules for any particular ancillary chunk type
 may be weaker. See for example the ordering rules for the
 standard ancillary chunk types (Summary of standard chunks,
 Section 4.3).
 Decoders must not assume more about the positioning of any
 ancillary chunk than is specified by the chunk ordering rules. In
 particular, it is never valid to assume that a specific ancillary
 chunk type occurs with any particular positioning relative to
 other ancillary chunks. (For example, it is unsafe to assume that
 your private ancillary chunk occurs immediately before IEND. Even
 if your application always writes it there, a PNG editor might
 have inserted some other ancillary chunk after it. But you can
 safely assume that your chunk will remain somewhere between IDAT
 and IEND.)
 7.3. Ordering of critical chunks
 Critical chunks can have arbitrary ordering requirements, because
 PNG editors are required to give up if they encounter unknown
 critical chunks. For example, IHDR has the special ordering rule
 that it must always appear first. A PNG editor, or indeed any
 PNG-writing program, must know and follow the ordering rules for
 any critical chunk type that it can emit.
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RFC 2083 PNG: Portable Network Graphics March 1997
8. Miscellaneous Topics
 8.1. File name extension
 On systems where file names customarily include an extension
 signifying file type, the extension ".png" is recommended for PNG
 files. Lower case ".png" is preferred if file names are case-
 sensitive.
 8.2. Internet media type
 The Internet Assigned Numbers Authority (IANA) has registered
 "image/png" as the Internet Media Type for PNG [RFC-2045, RFC-
 2048]. For robustness, decoders may choose to also support the
 interim media type "image/x-png" which was in use before
 registration was complete.
 8.3. Macintosh file layout
 In the Apple Macintosh system, the following conventions are
 recommended:
 * The four-byte file type code for PNG files is "PNGf". (This
 code has been registered with Apple for PNG files.) The
 creator code will vary depending on the creating
 application.
 * The contents of the data fork must be a PNG file exactly as
 described in the rest of this specification.
 * The contents of the resource fork are unspecified. It may
 be empty or may contain application-dependent resources.
 * When transferring a Macintosh PNG file to a non-Macintosh
 system, only the data fork should be transferred.
 8.4. Multiple-image extension
 PNG itself is strictly a single-image format. However, it may be
 necessary to store multiple images within one file; for example,
 this is needed to convert some GIF files. In the future, a
 multiple-image format based on PNG may be defined. Such a format
 will be considered a separate file format and will have a
 different signature. PNG-supporting applications may or may not
 choose to support the multiple-image format.
 See Rationale: Why not these features? (Section 12.3).
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RFC 2083 PNG: Portable Network Graphics March 1997
 8.5. Security considerations
 A PNG file or datastream is composed of a collection of explicitly
 typed "chunks". Chunks whose contents are defined by the
 specification could actually contain anything, including malicious
 code. But there is no known risk that such malicious code could
 be executed on the recipient's computer as a result of decoding
 the PNG image.
 The possible security risks associated with future chunk types
 cannot be specified at this time. Security issues will be
 considered when evaluating chunks proposed for registration as
 public chunks. There is no additional security risk associated
 with unknown or unimplemented chunk types, because such chunks
 will be ignored, or at most be copied into another PNG file.
 The tEXt and zTXt chunks contain data that is meant to be
 displayed as plain text. It is possible that if the decoder
 displays such text without filtering out control characters,
 especially the ESC (escape) character, certain systems or
 terminals could behave in undesirable and insecure ways. We
 recommend that decoders filter out control characters to avoid
 this risk; see Recommendations for Decoders: Text chunk processing
 (Section 10.11).
 Because every chunk's length is available at its beginning, and
 because every chunk has a CRC trailer, there is a very robust
 defense against corrupted data and against fraudulent chunks that
 attempt to overflow the decoder's buffers. Also, the PNG
 signature bytes provide early detection of common file
 transmission errors.
 A decoder that fails to check CRCs could be subject to data
 corruption. The only likely consequence of such corruption is
 incorrectly displayed pixels within the image. Worse things might
 happen if the CRC of the IHDR chunk is not checked and the width
 or height fields are corrupted. See Recommendations for Decoders:
 Error checking (Section 10.1).
 A poorly written decoder might be subject to buffer overflow,
 because chunks can be extremely large, up to (2^31)-1 bytes long.
 But properly written decoders will handle large chunks without
 difficulty.
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RFC 2083 PNG: Portable Network Graphics March 1997
9. Recommendations for Encoders
 This chapter gives some recommendations for encoder behavior. The
 only absolute requirement on a PNG encoder is that it produce files
 that conform to the format specified in the preceding chapters.
 However, best results will usually be achieved by following these
 recommendations.
 9.1. Sample depth scaling
 When encoding input samples that have a sample depth that cannot
 be directly represented in PNG, the encoder must scale the samples
 up to a sample depth that is allowed by PNG. The most accurate
 scaling method is the linear equation
 output = ROUND(input * MAXOUTSAMPLE / MAXINSAMPLE)
 where the input samples range from 0 to MAXINSAMPLE and the
 outputs range from 0 to MAXOUTSAMPLE (which is (2^sampledepth)-1).
 A close approximation to the linear scaling method can be achieved
 by "left bit replication", which is shifting the valid bits to
 begin in the most significant bit and repeating the most
 significant bits into the open bits. This method is often faster
 to compute than linear scaling. As an example, assume that 5-bit
 samples are being scaled up to 8 bits. If the source sample value
 is 27 (in the range from 0-31), then the original bits are:
 4 3 2 1 0
 ---------
 1 1 0 1 1
 Left bit replication gives a value of 222:
 7 6 5 4 3 2 1 0
 ----------------
 1 1 0 1 1 1 1 0
 |=======| |===|
 | Leftmost Bits Repeated to Fill Open Bits
 |
 Original Bits
 which matches the value computed by the linear equation. Left bit
 replication usually gives the same value as linear scaling, and is
 never off by more than one.
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 A distinctly less accurate approximation is obtained by simply
 left-shifting the input value and filling the low order bits with
 zeroes. This scheme cannot reproduce white exactly, since it does
 not generate an all-ones maximum value; the net effect is to
 darken the image slightly. This method is not recommended in
 general, but it does have the effect of improving compression,
 particularly when dealing with greater-than-eight-bit sample
 depths. Since the relative error introduced by zero-fill scaling
 is small at high sample depths, some encoders may choose to use
 it. Zero-fill must not be used for alpha channel data, however,
 since many decoders will special-case alpha values of all zeroes
 and all ones. It is important to represent both those values
 exactly in the scaled data.
 When the encoder writes an sBIT chunk, it is required to do the
 scaling in such a way that the high-order bits of the stored
 samples match the original data. That is, if the sBIT chunk
 specifies a sample depth of S, the high-order S bits of the stored
 data must agree with the original S-bit data values. This allows
 decoders to recover the original data by shifting right. The
 added low-order bits are not constrained. Note that all the above
 scaling methods meet this restriction.
 When scaling up source data, it is recommended that the low-order
 bits be filled consistently for all samples; that is, the same
 source value should generate the same sample value at any pixel
 position. This improves compression by reducing the number of
 distinct sample values. However, this is not a requirement, and
 some encoders may choose not to follow it. For example, an
 encoder might instead dither the low-order bits, improving
 displayed image quality at the price of increasing file size.
 In some applications the original source data may have a range
 that is not a power of 2. The linear scaling equation still works
 for this case, although the shifting methods do not. It is
 recommended that an sBIT chunk not be written for such images,
 since sBIT suggests that the original data range was exactly
 0..2^S-1.
 9.2. Encoder gamma handling
 See Gamma Tutorial (Chapter 13) if you aren't already familiar
 with gamma issues.
 Proper handling of gamma encoding and the gAMA chunk in an encoder
 depends on the prior history of the sample values and on whether
 these values have already been quantized to integers.
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 If the encoder has access to sample intensity values in floating-
 point or high-precision integer form (perhaps from a computer
 image renderer), then it is recommended that the encoder perform
 its own gamma encoding before quantizing the data to integer
 values for storage in the file. Applying gamma encoding at this
 stage results in images with fewer banding artifacts at a given
 sample depth, or allows smaller samples while retaining the same
 visual quality.
 A linear intensity level, expressed as a floating-point value in
 the range 0 to 1, can be converted to a gamma-encoded sample value
 by
 sample = ROUND((intensity ^ encoder_gamma) * MAXSAMPLE)
 The file_gamma value to be written in the PNG gAMA chunk is the
 same as encoder_gamma in this equation, since we are assuming the
 initial intensity value is linear (in effect, camera_gamma is
 1.0).
 If the image is being written to a file only, the encoder_gamma
 value can be selected somewhat arbitrarily. Values of 0.45 or 0.5
 are generally good choices because they are common in video
 systems, and so most PNG decoders should do a good job displaying
 such images.
 Some image renderers may simultaneously write the image to a PNG
 file and display it on-screen. The displayed pixels should be
 gamma corrected for the display system and viewing conditions in
 use, so that the user sees a proper representation of the intended
 scene. An appropriate gamma correction value is
 screen_gc = viewing_gamma / display_gamma
 If the renderer wants to write the same gamma-corrected sample
 values to the PNG file, avoiding a separate gamma-encoding step
 for file output, then this screen_gc value should be written in
 the gAMA chunk. This will allow a PNG decoder to reproduce what
 the file's originator saw on screen during rendering (provided the
 decoder properly supports arbitrary values in a gAMA chunk).
 However, it is equally reasonable for a renderer to apply gamma
 correction for screen display using a gamma appropriate to the
 viewing conditions, and to separately gamma-encode the sample
 values for file storage using a standard value of gamma such as
 0.5. In fact, this is preferable, since some PNG decoders may not
 accurately display images with unusual gAMA values.
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RFC 2083 PNG: Portable Network Graphics March 1997
 Computer graphics renderers often do not perform gamma encoding,
 instead making sample values directly proportional to scene light
 intensity. If the PNG encoder receives sample values that have
 already been quantized into linear-light integer values, there is
 no point in doing gamma encoding on them; that would just result
 in further loss of information. The encoder should just write the
 sample values to the PNG file. This "linear" sample encoding is
 equivalent to gamma encoding with a gamma of 1.0, so graphics
 programs that produce linear samples should always emit a gAMA
 chunk specifying a gamma of 1.0.
 When the sample values come directly from a piece of hardware, the
 correct gAMA value is determined by the gamma characteristic of
 the hardware. In the case of video digitizers ("frame grabbers"),
 gAMA should be 0.45 or 0.5 for NTSC (possibly less for PAL or
 SECAM) since video camera transfer functions are standardized.
 Image scanners are less predictable. Their output samples may be
 linear (gamma 1.0) since CCD sensors themselves are linear, or the
 scanner hardware may have already applied gamma correction
 designed to compensate for dot gain in subsequent printing (gamma
 of about 0.57), or the scanner may have corrected the samples for
 display on a CRT (gamma of 0.4-0.5). You will need to refer to
 the scanner's manual, or even scan a calibrated gray wedge, to
 determine what a particular scanner does.
 File format converters generally should not attempt to convert
 supplied images to a different gamma. Store the data in the PNG
 file without conversion, and record the source gamma if it is
 known. Gamma alteration at file conversion time causes re-
 quantization of the set of intensity levels that are represented,
 introducing further roundoff error with little benefit. It's
 almost always better to just copy the sample values intact from
 the input to the output file.
 In some cases, the supplied image may be in an image format (e.g.,
 TIFF) that can describe the gamma characteristic of the image. In
 such cases, a file format converter is strongly encouraged to
 write a PNG gAMA chunk that corresponds to the known gamma of the
 source image. Note that some file formats specify the gamma of
 the display system, not the camera. If the input file's gamma
 value is greater than 1.0, it is almost certainly a display system
 gamma, and you should use its reciprocal for the PNG gAMA.
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RFC 2083 PNG: Portable Network Graphics March 1997
 If the encoder or file format converter does not know how an image
 was originally created, but does know that the image has been
 displayed satisfactorily on a display with gamma display_gamma
 under lighting conditions where a particular viewing_gamma is
 appropriate, then the image can be marked as having the
 file_gamma:
 file_gamma = viewing_gamma / display_gamma
 This will allow viewers of the PNG file to see the same image that
 the person running the file format converter saw. Although this
 may not be precisely the correct value of the image gamma, it's
 better to write a gAMA chunk with an approximately right value
 than to omit the chunk and force PNG decoders to guess at an
 appropriate gamma.
 On the other hand, if the image file is being converted as part of
 a "bulk" conversion, with no one looking at each image, then it is
 better to omit the gAMA chunk entirely. If the image gamma has to
 be guessed at, leave it to the decoder to do the guessing.
 Gamma does not apply to alpha samples; alpha is always represented
 linearly.
 See also Recommendations for Decoders: Decoder gamma handling
 (Section 10.5).
 9.3. Encoder color handling
 See Color Tutorial (Chapter 14) if you aren't already familiar
 with color issues.
 If it is possible for the encoder to determine the chromaticities
 of the source display primaries, or to make a strong guess based
 on the origin of the image or the hardware running it, then the
 encoder is strongly encouraged to output the cHRM chunk. If it
 does so, the gAMA chunk should also be written; decoders can do
 little with cHRM if gAMA is missing.
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RFC 2083 PNG: Portable Network Graphics March 1997
 Video created with recent video equipment probably uses the CCIR
 709 primaries and D65 white point [ITU-BT709], which are:
 R G B White
 x 0.640 0.300 0.150 0.3127
 y 0.330 0.600 0.060 0.3290
 An older but still very popular video standard is SMPTE-C [SMPTE-
 170M]:
 R G B White
 x 0.630 0.310 0.155 0.3127
 y 0.340 0.595 0.070 0.3290
 The original NTSC color primaries have not been used in decades.
 Although you may still find the NTSC numbers listed in standards
 documents, you won't find any images that actually use them.
 Scanners that produce PNG files as output should insert the filter
 chromaticities into a cHRM chunk and the camera_gamma into a gAMA
 chunk.
 In the case of hand-drawn or digitally edited images, you have to
 determine what monitor they were viewed on when being produced.
 Many image editing programs allow you to specify what type of
 monitor you are using. This is often because they are working in
 some device-independent space internally. Such programs have
 enough information to write valid cHRM and gAMA chunks, and should
 do so automatically.
 If the encoder is compiled as a portion of a computer image
 renderer that performs full-spectral rendering, the monitor values
 that were used to convert from the internal device-independent
 color space to RGB should be written into the cHRM chunk. Any
 colors that are outside the gamut of the chosen RGB device should
 be clipped or otherwise constrained to be within the gamut; PNG
 does not store out of gamut colors.
 If the computer image renderer performs calculations directly in
 device-dependent RGB space, a cHRM chunk should not be written
 unless the scene description and rendering parameters have been
 adjusted to look good on a particular monitor. In that case, the
 data for that monitor (if known) should be used to construct a
 cHRM chunk.
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RFC 2083 PNG: Portable Network Graphics March 1997
 There are often cases where an image's exact origins are unknown,
 particularly if it began life in some other format. A few image
 formats store calibration information, which can be used to fill
 in the cHRM chunk. For example, all PhotoCD images use the CCIR
 709 primaries and D65 whitepoint, so these values can be written
 into the cHRM chunk when converting a PhotoCD file. PhotoCD also
 uses the SMPTE-170M transfer function, which is closely
 approximated by a gAMA of 0.5. (PhotoCD can store colors outside
 the RGB gamut, so the image data will require gamut mapping before
 writing to PNG format.) TIFF 6.0 files can optionally store
 calibration information, which if present should be used to
 construct the cHRM chunk. GIF and most other formats do not store
 any calibration information.
 It is not recommended that file format converters attempt to
 convert supplied images to a different RGB color space. Store the
 data in the PNG file without conversion, and record the source
 primary chromaticities if they are known. Color space
 transformation at file conversion time is a bad idea because of
 gamut mismatches and rounding errors. As with gamma conversions,
 it's better to store the data losslessly and incur at most one
 conversion when the image is finally displayed.
 See also Recommendations for Decoders: Decoder color handling
 (Section 10.6).
 9.4. Alpha channel creation
 The alpha channel can be regarded either as a mask that
 temporarily hides transparent parts of the image, or as a means
 for constructing a non-rectangular image. In the first case, the
 color values of fully transparent pixels should be preserved for
 future use. In the second case, the transparent pixels carry no
 useful data and are simply there to fill out the rectangular image
 area required by PNG. In this case, fully transparent pixels
 should all be assigned the same color value for best compression.
 Image authors should keep in mind the possibility that a decoder
 will ignore transparency control. Hence, the colors assigned to
 transparent pixels should be reasonable background colors whenever
 feasible.
 For applications that do not require a full alpha channel, or
 cannot afford the price in compression efficiency, the tRNS
 transparency chunk is also available.
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RFC 2083 PNG: Portable Network Graphics March 1997
 If the image has a known background color, this color should be
 written in the bKGD chunk. Even decoders that ignore transparency
 may use the bKGD color to fill unused screen area.
 If the original image has premultiplied (also called "associated")
 alpha data, convert it to PNG's non-premultiplied format by
 dividing each sample value by the corresponding alpha value, then
 multiplying by the maximum value for the image bit depth, and
 rounding to the nearest integer. In valid premultiplied data, the
 sample values never exceed their corresponding alpha values, so
 the result of the division should always be in the range 0 to 1.
 If the alpha value is zero, output black (zeroes).
 9.5. Suggested palettes
 A PLTE chunk can appear in truecolor PNG files. In such files,
 the chunk is not an essential part of the image data, but simply
 represents a suggested palette that viewers may use to present the
 image on indexed-color display hardware. A suggested palette is
 of no interest to viewers running on truecolor hardware.
 If an encoder chooses to provide a suggested palette, it is
 recommended that a hIST chunk also be written to indicate the
 relative importance of the palette entries. The histogram values
 are most easily computed as "nearest neighbor" counts, that is,
 the approximate usage of each palette entry if no dithering is
 applied. (These counts will often be available for free as a
 consequence of developing the suggested palette.)
 For images of color type 2 (truecolor without alpha channel), it
 is recommended that the palette and histogram be computed with
 reference to the RGB data only, ignoring any transparent-color
 specification. If the file uses transparency (has a tRNS chunk),
 viewers can easily adapt the resulting palette for use with their
 intended background color. They need only replace the palette
 entry closest to the tRNS color with their background color (which
 may or may not match the file's bKGD color, if any).
 For images of color type 6 (truecolor with alpha channel), it is
 recommended that a bKGD chunk appear and that the palette and
 histogram be computed with reference to the image as it would
 appear after compositing against the specified background color.
 This definition is necessary to ensure that useful palette entries
 are generated for pixels having fractional alpha values. The
 resulting palette will probably only be useful to viewers that
 present the image against the same background color. It is
 recommended that PNG editors delete or recompute the palette if
 they alter or remove the bKGD chunk in an image of color type 6.
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RFC 2083 PNG: Portable Network Graphics March 1997
 If PLTE appears without bKGD in an image of color type 6, the
 circumstances under which the palette was computed are
 unspecified.
 9.6. Filter selection
 For images of color type 3 (indexed color), filter type 0 (None)
 is usually the most effective. Note that color images with 256 or
 fewer colors should almost always be stored in indexed color
 format; truecolor format is likely to be much larger.
 Filter type 0 is also recommended for images of bit depths less
 than 8. For low-bit-depth grayscale images, it may be a net win
 to expand the image to 8-bit representation and apply filtering,
 but this is rare.
 For truecolor and grayscale images, any of the five filters may
 prove the most effective. If an encoder uses a fixed filter, the
 Paeth filter is most likely to be the best.
 For best compression of truecolor and grayscale images, we
 recommend an adaptive filtering approach in which a filter is
 chosen for each scanline. The following simple heuristic has
 performed well in early tests: compute the output scanline using
 all five filters, and select the filter that gives the smallest
 sum of absolute values of outputs. (Consider the output bytes as
 signed differences for this test.) This method usually
 outperforms any single fixed filter choice. However, it is likely
 that much better heuristics will be found as more experience is
 gained with PNG.
 Filtering according to these recommendations is effective on
 interlaced as well as noninterlaced images.
 9.7. Text chunk processing
 A nonempty keyword must be provided for each text chunk. The
 generic keyword "Comment" can be used if no better description of
 the text is available. If a user-supplied keyword is used, be
 sure to check that it meets the restrictions on keywords.
 PNG text strings are expected to use the Latin-1 character set.
 Encoders should avoid storing characters that are not defined in
 Latin-1, and should provide character code remapping if the local
 system's character set is not Latin-1.
 Encoders should discourage the creation of single lines of text
 longer than 79 characters, in order to facilitate easy reading.
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RFC 2083 PNG: Portable Network Graphics March 1997
 It is recommended that text items less than 1K (1024 bytes) in
 size should be output using uncompressed tEXt chunks. In
 particular, it is recommended that the basic title and author
 keywords should always be output using uncompressed tEXt chunks.
 Lengthy disclaimers, on the other hand, are ideal candidates for
 zTXt.
 Placing large tEXt and zTXt chunks after the image data (after
 IDAT) can speed up image display in some situations, since the
 decoder won't have to read over the text to get to the image data.
 But it is recommended that small text chunks, such as the image
 title, appear before IDAT.
 9.8. Use of private chunks
 Applications can use PNG private chunks to carry information that
 need not be understood by other applications. Such chunks must be
 given names with lowercase second letters, to ensure that they can
 never conflict with any future public chunk definition. Note,
 however, that there is no guarantee that some other application
 will not use the same private chunk name. If you use a private
 chunk type, it is prudent to store additional identifying
 information at the beginning of the chunk data.
 Use an ancillary chunk type (lowercase first letter), not a
 critical chunk type, for all private chunks that store information
 that is not absolutely essential to view the image. Creation of
 private critical chunks is discouraged because they render PNG
 files unportable. Such chunks should not be used in publicly
 available software or files. If private critical chunks are
 essential for your application, it is recommended that one appear
 near the start of the file, so that a standard decoder need not
 read very far before discovering that it cannot handle the file.
 If you want others outside your organization to understand a chunk
 type that you invent, contact the maintainers of the PNG
 specification to submit a proposed chunk name and definition for
 addition to the list of special-purpose public chunks (see
 Additional chunk types, Section 4.4). Note that a proposed public
 chunk name (with uppercase second letter) must not be used in
 publicly available software or files until registration has been
 approved.
 If an ancillary chunk contains textual information that might be
 of interest to a human user, you should not create a special chunk
 type for it. Instead use a tEXt chunk and define a suitable
 keyword. That way, the information will be available to users not
 using your software.
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RFC 2083 PNG: Portable Network Graphics March 1997
 Keywords in tEXt chunks should be reasonably self-explanatory,
 since the idea is to let other users figure out what the chunk
 contains. If of general usefulness, new keywords can be
 registered with the maintainers of the PNG specification. But it
 is permissible to use keywords without registering them first.
 9.9. Private type and method codes
 This specification defines the meaning of only some of the
 possible values of some fields. For example, only compression
 method 0 and filter types 0 through 4 are defined. Numbers
 greater than 127 must be used when inventing experimental or
 private definitions of values for any of these fields. Numbers
 below 128 are reserved for possible future public extensions of
 this specification. Note that use of private type codes may
 render a file unreadable by standard decoders. Such codes are
 strongly discouraged except for experimental purposes, and should
 not appear in publicly available software or files.
10. Recommendations for Decoders
 This chapter gives some recommendations for decoder behavior. The
 only absolute requirement on a PNG decoder is that it successfully
 read any file conforming to the format specified in the preceding
 chapters. However, best results will usually be achieved by
 following these recommendations.
 10.1. Error checking
 To ensure early detection of common file-transfer problems,
 decoders should verify that all eight bytes of the PNG file
 signature are correct. (See Rationale: PNG file signature,
 Section 12.11.) A decoder can have additional confidence in the
 file's integrity if the next eight bytes are an IHDR chunk header
 with the correct chunk length.
 Unknown chunk types must be handled as described in Chunk naming
 conventions (Section 3.3). An unknown chunk type is not to be
 treated as an error unless it is a critical chunk.
 It is strongly recommended that decoders should verify the CRC on
 each chunk.
 In some situations it is desirable to check chunk headers (length
 and type code) before reading the chunk data and CRC. The chunk
 type can be checked for plausibility by seeing whether all four
 bytes are ASCII letters (codes 65-90 and 97-122); note that this
 need only be done for unrecognized type codes. If the total file
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RFC 2083 PNG: Portable Network Graphics March 1997
 size is known (from file system information, HTTP protocol, etc),
 the chunk length can be checked for plausibility as well.
 If CRCs are not checked, dropped/added data bytes or an erroneous
 chunk length can cause the decoder to get out of step and
 misinterpret subsequent data as a chunk header. Verifying that
 the chunk type contains letters is an inexpensive way of providing
 early error detection in this situation.
 For known-length chunks such as IHDR, decoders should treat an
 unexpected chunk length as an error. Future extensions to this
 specification will not add new fields to existing chunks; instead,
 new chunk types will be added to carry new information.
 Unexpected values in fields of known chunks (for example, an
 unexpected compression method in the IHDR chunk) must be checked
 for and treated as errors. However, it is recommended that
 unexpected field values be treated as fatal errors only in
 critical chunks. An unexpected value in an ancillary chunk can be
 handled by ignoring the whole chunk as though it were an unknown
 chunk type. (This recommendation assumes that the chunk's CRC has
 been verified. In decoders that do not check CRCs, it is safer to
 treat any unexpected value as indicating a corrupted file.)
 10.2. Pixel dimensions
 Non-square pixels can be represented (see the pHYs chunk), but
 viewers are not required to account for them; a viewer can present
 any PNG file as though its pixels are square.
 Conversely, viewers running on display hardware with non-square
 pixels are strongly encouraged to rescale images for proper
 display.
 10.3. Truecolor image handling
 To achieve PNG's goal of universal interchangeability, decoders
 are required to accept all types of PNG image: indexed-color,
 truecolor, and grayscale. Viewers running on indexed-color
 display hardware need to be able to reduce truecolor images to
 indexed format for viewing. This process is usually called "color
 quantization".
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RFC 2083 PNG: Portable Network Graphics March 1997
 A simple, fast way of doing this is to reduce the image to a fixed
 palette. Palettes with uniform color spacing ("color cubes") are
 usually used to minimize the per-pixel computation. For
 photograph-like images, dithering is recommended to avoid ugly
 contours in what should be smooth gradients; however, dithering
 introduces graininess that can be objectionable.
 The quality of rendering can be improved substantially by using a
 palette chosen specifically for the image, since a color cube
 usually has numerous entries that are unused in any particular
 image. This approach requires more work, first in choosing the
 palette, and second in mapping individual pixels to the closest
 available color. PNG allows the encoder to supply a suggested
 palette in a PLTE chunk, but not all encoders will do so, and the
 suggested palette may be unsuitable in any case (it may have too
 many or too few colors). High-quality viewers will therefore need
 to have a palette selection routine at hand. A large lookup table
 is usually the most feasible way of mapping individual pixels to
 palette entries with adequate speed.
 Numerous implementations of color quantization are available. The
 PNG reference implementation, libpng, includes code for the
 purpose.
 10.4. Sample depth rescaling
 Decoders may wish to scale PNG data to a lesser sample depth (data
 precision) for display. For example, 16-bit data will need to be
 reduced to 8-bit depth for use on most present-day display
 hardware. Reduction of 8-bit data to 5-bit depth is also common.
 The most accurate scaling is achieved by the linear equation
 output = ROUND(input * MAXOUTSAMPLE / MAXINSAMPLE)
 where
 MAXINSAMPLE = (2^sampledepth)-1
 MAXOUTSAMPLE = (2^desired_sampledepth)-1
 A slightly less accurate conversion is achieved by simply shifting
 right by sampledepth-desired_sampledepth places. For example, to
 reduce 16-bit samples to 8-bit, one need only discard the low-
 order byte. In many situations the shift method is sufficiently
 accurate for display purposes, and it is certainly much faster.
 (But if gamma correction is being done, sample rescaling can be
 merged into the gamma correction lookup table, as is illustrated
 in Decoder gamma handling, Section 10.5.)
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RFC 2083 PNG: Portable Network Graphics March 1997
 When an sBIT chunk is present, the original pre-PNG data can be
 recovered by shifting right to the sample depth specified by sBIT.
 Note that linear scaling will not necessarily reproduce the
 original data, because the encoder is not required to have used
 linear scaling to scale the data up. However, the encoder is
 required to have used a method that preserves the high-order bits,
 so shifting always works. This is the only case in which shifting
 might be said to be more accurate than linear scaling.
 When comparing pixel values to tRNS chunk values to detect
 transparent pixels, it is necessary to do the comparison exactly.
 Therefore, transparent pixel detection must be done before
 reducing sample precision.
 10.5. Decoder gamma handling
 See Gamma Tutorial (Chapter 13) if you aren't already familiar
 with gamma issues.
 To produce correct tone reproduction, a good image display program
 should take into account the gammas of the image file and the
 display device, as well as the viewing_gamma appropriate to the
 lighting conditions near the display. This can be done by
 calculating
 gbright = insample / MAXINSAMPLE
 bright = gbright ^ (1.0 / file_gamma)
 vbright = bright ^ viewing_gamma
 gcvideo = vbright ^ (1.0 / display_gamma)
 fbval = ROUND(gcvideo * MAXFBVAL)
 where MAXINSAMPLE is the maximum sample value in the file (255 for
 8-bit, 65535 for 16-bit, etc), MAXFBVAL is the maximum value of a
 frame buffer sample (255 for 8-bit, 31 for 5-bit, etc), insample
 is the value of the sample in the PNG file, and fbval is the value
 to write into the frame buffer. The first line converts from
 integer samples into a normalized 0 to 1 floating point value, the
 second undoes the gamma encoding of the image file to produce a
 linear intensity value, the third adjusts for the viewing
 conditions, the fourth corrects for the display system's gamma
 value, and the fifth converts to an integer frame buffer sample.
 In practice, the second through fourth lines can be merged into
 gcvideo = gbright^(viewing_gamma / (file_gamma*display_gamma))
 so as to perform only one power calculation. For color images, the
 entire calculation is performed separately for R, G, and B values.
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RFC 2083 PNG: Portable Network Graphics March 1997
 It is not necessary to perform transcendental math for every
 pixel. Instead, compute a lookup table that gives the correct
 output value for every possible sample value. This requires only
 256 calculations per image (for 8-bit accuracy), not one or three
 calculations per pixel. For an indexed-color image, a one-time
 correction of the palette is sufficient, unless the image uses
 transparency and is being displayed against a nonuniform
 background.
 In some cases even the cost of computing a gamma lookup table may
 be a concern. In these cases, viewers are encouraged to have
 precomputed gamma correction tables for file_gamma values of 1.0
 and 0.5 with some reasonable choice of viewing_gamma and
 display_gamma, and to use the table closest to the gamma indicated
 in the file. This will produce acceptable results for the majority
 of real files.
 When the incoming image has unknown gamma (no gAMA chunk), choose
 a likely default file_gamma value, but allow the user to select a
 new one if the result proves too dark or too light.
 In practice, it is often difficult to determine what value of
 display_gamma should be used. In systems with no built-in gamma
 correction, the display_gamma is determined entirely by the CRT.
 Assuming a CRT_gamma of 2.5 is recommended, unless you have
 detailed calibration measurements of this particular CRT
 available.
 However, many modern frame buffers have lookup tables that are
 used to perform gamma correction, and on these systems the
 display_gamma value should be the gamma of the lookup table and
 CRT combined. You may not be able to find out what the lookup
 table contains from within an image viewer application, so you may
 have to ask the user what the system's gamma value is.
 Unfortunately, different manufacturers use different ways of
 specifying what should go into the lookup table, so interpretation
 of the system gamma value is system-dependent. Gamma Tutorial
 (Chapter 13) gives some examples.
 The response of real displays is actually more complex than can be
 described by a single number (display_gamma). If actual
 measurements of the monitor's light output as a function of
 voltage input are available, the fourth and fifth lines of the
 computation above can be replaced by a lookup in these
 measurements, to find the actual frame buffer value that most
 nearly gives the desired brightness.
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RFC 2083 PNG: Portable Network Graphics March 1997
 The value of viewing_gamma depends on lighting conditions; see
 Gamma Tutorial (Chapter 13) for more detail. Ideally, a viewer
 would allow the user to specify viewing_gamma, either directly
 numerically, or via selecting from "bright surround", "dim
 surround", and "dark surround" conditions. Viewers that don't
 want to do this should just assume a value for viewing_gamma of
 1.0, since most computer displays live in brightly-lit rooms.
 When viewing images that are digitized from video, or that are
 destined to become video frames, the user might want to set the
 viewing_gamma to about 1.25 regardless of the actual level of room
 lighting. This value of viewing_gamma is "built into" NTSC video
 practice, and displaying an image with that viewing_gamma allows
 the user to see what a TV set would show under the current room
 lighting conditions. (This is not the same thing as trying to
 obtain the most accurate rendition of the content of the scene,
 which would require adjusting viewing_gamma to correspond to the
 room lighting level.) This is another reason viewers might want
 to allow users to adjust viewing_gamma directly.
 10.6. Decoder color handling
 See Color Tutorial (Chapter 14) if you aren't already familiar
 with color issues.
 In many cases, decoders will treat image data in PNG files as
 device-dependent RGB data and display it without modification
 (except for appropriate gamma correction). This provides the
 fastest display of PNG images. But unless the viewer uses exactly
 the same display hardware as the original image author used, the
 colors will not be exactly the same as the original author saw,
 particularly for darker or near-neutral colors. The cHRM chunk
 provides information that allows closer color matching than that
 provided by gamma correction alone.
 Decoders can use the cHRM data to transform the image data from
 RGB to XYZ and thence into a perceptually linear color space such
 as CIE LAB. They can then partition the colors to generate an
 optimal palette, because the geometric distance between two colors
 in CIE LAB is strongly related to how different those colors
 appear (unlike, for example, RGB or XYZ spaces). The resulting
 palette of colors, once transformed back into RGB color space,
 could be used for display or written into a PLTE chunk.
 Decoders that are part of image processing applications might also
 transform image data into CIE LAB space for analysis.
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RFC 2083 PNG: Portable Network Graphics March 1997
 In applications where color fidelity is critical, such as product
 design, scientific visualization, medicine, architecture, or
 advertising, decoders can transform the image data from source_RGB
 to the display_RGB space of the monitor used to view the image.
 This involves calculating the matrix to go from source_RGB to XYZ
 and the matrix to go from XYZ to display_RGB, then combining them
 to produce the overall transformation. The decoder is responsible
 for implementing gamut mapping.
 Decoders running on platforms that have a Color Management System
 (CMS) can pass the image data, gAMA and cHRM values to the CMS for
 display or further processing.
 Decoders that provide color printing facilities can use the
 facilities in Level 2 PostScript to specify image data in
 calibrated RGB space or in a device-independent color space such
 as XYZ. This will provide better color fidelity than a simple RGB
 to CMYK conversion. The PostScript Language Reference manual
 gives examples of this process [POSTSCRIPT]. Such decoders are
 responsible for implementing gamut mapping between source_RGB
 (specified in the cHRM chunk) and the target printer. The
 PostScript interpreter is then responsible for producing the
 required colors.
 Decoders can use the cHRM data to calculate an accurate grayscale
 representation of a color image. Conversion from RGB to gray is
 simply a case of calculating the Y (luminance) component of XYZ,
 which is a weighted sum of the R G and B values. The weights
 depend on the monitor type, i.e., the values in the cHRM chunk.
 Decoders may wish to do this for PNG files with no cHRM chunk. In
 that case, a reasonable default would be the CCIR 709 primaries
 [ITU-BT709]. Do not use the original NTSC primaries, unless you
 really do have an image color-balanced for such a monitor. Few
 monitors ever used the NTSC primaries, so such images are probably
 nonexistent these days.
 10.7. Background color
 The background color given by bKGD will typically be used to fill
 unused screen space around the image, as well as any transparent
 pixels within the image. (Thus, bKGD is valid and useful even
 when the image does not use transparency.) If no bKGD chunk is
 present, the viewer will need to make its own decision about a
 suitable background color.
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RFC 2083 PNG: Portable Network Graphics March 1997
 Viewers that have a specific background against which to present
 the image (such as Web browsers) should ignore the bKGD chunk, in
 effect overriding bKGD with their preferred background color or
 background image.
 The background color given by bKGD is not to be considered
 transparent, even if it happens to match the color given by tRNS
 (or, in the case of an indexed-color image, refers to a palette
 index that is marked as transparent by tRNS). Otherwise one would
 have to imagine something "behind the background" to composite
 against. The background color is either used as background or
 ignored; it is not an intermediate layer between the PNG image and
 some other background.
 Indeed, it will be common that bKGD and tRNS specify the same
 color, since then a decoder that does not implement transparency
 processing will give the intended display, at least when no
 partially-transparent pixels are present.
 10.8. Alpha channel processing
 In the most general case, the alpha channel can be used to
 composite a foreground image against a background image; the PNG
 file defines the foreground image and the transparency mask, but
 not the background image. Decoders are not required to support
 this most general case. It is expected that most will be able to
 support compositing against a single background color, however.
 The equation for computing a composited sample value is
 output = alpha * foreground + (1-alpha) * background
 where alpha and the input and output sample values are expressed
 as fractions in the range 0 to 1. This computation should be
 performed with linear (non-gamma-encoded) sample values. For
 color images, the computation is done separately for R, G, and B
 samples.
 The following code illustrates the general case of compositing a
 foreground image over a background image. It assumes that you
 have the original pixel data available for the background image,
 and that output is to a frame buffer for display. Other variants
 are possible; see the comments below the code. The code allows
 the sample depths and gamma values of foreground image, background
 image, and frame buffer/CRT all to be different. Don't assume
 they are the same without checking.
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RFC 2083 PNG: Portable Network Graphics March 1997
 This code is standard C, with line numbers added for reference in
 the comments below.
 01 int foreground[4]; /* image pixel: R, G, B, A */
 02 int background[3]; /* background pixel: R, G, B */
 03 int fbpix[3]; /* frame buffer pixel */
 04 int fg_maxsample; /* foreground max sample */
 05 int bg_maxsample; /* background max sample */
 06 int fb_maxsample; /* frame buffer max sample */
 07 int ialpha;
 08 float alpha, compalpha;
 09 float gamfg, linfg, gambg, linbg, comppix, gcvideo;
 /* Get max sample values in data and frame buffer */
 10 fg_maxsample = (1 << fg_sample_depth) - 1;
 11 bg_maxsample = (1 << bg_sample_depth) - 1;
 12 fb_maxsample = (1 << frame_buffer_sample_depth) - 1;
 /*
 * Get integer version of alpha.
 * Check for opaque and transparent special cases;
 * no compositing needed if so.
 *
 * We show the whole gamma decode/correct process in
 * floating point, but it would more likely be done
 * with lookup tables.
 */
 13 ialpha = foreground[3];
 14 if (ialpha == 0) {
 /*
 * Foreground image is transparent here.
 * If the background image is already in the frame
 * buffer, there is nothing to do.
 */
 15 ;
 16 } else if (ialpha == fg_maxsample) {
 /*
 * Copy foreground pixel to frame buffer.
 */
 17 for (i = 0; i < 3; i++) {
 18 gamfg = (float) foreground[i] / fg_maxsample;
 19 linfg = pow(gamfg, 1.0/fg_gamma);
 20 comppix = linfg;
 21 gcvideo = pow(comppix,viewing_gamma/display_gamma);
 22 fbpix[i] = (int) (gcvideo * fb_maxsample + 0.5);
 23 }
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RFC 2083 PNG: Portable Network Graphics March 1997
 24 } else {
 /*
 * Compositing is necessary.
 * Get floating-point alpha and its complement.
 * Note: alpha is always linear; gamma does not
 * affect it.
 */
 25 alpha = (float) ialpha / fg_maxsample;
 26 compalpha = 1.0 - alpha;
 27 for (i = 0; i < 3; i++) {
 /*
 * Convert foreground and background to floating
 * point, then linearize (undo gamma encoding).
 */
 28 gamfg = (float) foreground[i] / fg_maxsample;
 29 linfg = pow(gamfg, 1.0/fg_gamma);
 30 gambg = (float) background[i] / bg_maxsample;
 31 linbg = pow(gambg, 1.0/bg_gamma);
 /*
 * Composite.
 */
 32 comppix = linfg * alpha + linbg * compalpha;
 /*
 * Gamma correct for display.
 * Convert to integer frame buffer pixel.
 */
 33 gcvideo = pow(comppix,viewing_gamma/display_gamma);
 34 fbpix[i] = (int) (gcvideo * fb_maxsample + 0.5);
 35 }
 36 }
 Variations:
 * If output is to another PNG image file instead of a frame
 buffer, lines 21, 22, 33, and 34 should be changed to be
 something like
 /*
 * Gamma encode for storage in output file.
 * Convert to integer sample value.
 */
 gamout = pow(comppix, outfile_gamma);
 outpix[i] = (int) (gamout * out_maxsample + 0.5);
 Also, it becomes necessary to process background pixels when
 alpha is zero, rather than just skipping pixels. Thus, line
 15 will need to be replaced by copies of lines 17-23, but
 processing background instead of foreground pixel values.
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RFC 2083 PNG: Portable Network Graphics March 1997
 * If the sample depths of the output file, foreground file,
 and background file are all the same, and the three gamma
 values also match, then the no-compositing code in lines
 14-23 reduces to nothing more than copying pixel values from
 the input file to the output file if alpha is one, or
 copying pixel values from background to output file if alpha
 is zero. Since alpha is typically either zero or one for
 the vast majority of pixels in an image, this is a great
 savings. No gamma computations are needed for most pixels.
 * When the sample depths and gamma values all match, it may
 appear attractive to skip the gamma decoding and encoding
 (lines 28-31, 33-34) and just perform line 32 using gamma-
 encoded sample values. Although this doesn't hurt image
 quality too badly, the time savings are small if alpha
 values of zero and one are special-cased as recommended
 here.
 * If the original pixel values of the background image are no
 longer available, only processed frame buffer pixels left by
 display of the background image, then lines 30 and 31 need
 to extract intensity from the frame buffer pixel values
 using code like
 /*
 * Decode frame buffer value back into linear space.
 */
 gcvideo = (float) fbpix[i] / fb_maxsample;
 linbg = pow(gcvideo, display_gamma / viewing_gamma);
 However, some roundoff error can result, so it is better to
 have the original background pixels available if at all
 possible.
 * Note that lines 18-22 are performing exactly the same gamma
 computation that is done when no alpha channel is present.
 So, if you handle the no-alpha case with a lookup table, you
 can use the same lookup table here. Lines 28-31 and 33-34
 can also be done with (different) lookup tables.
 * Of course, everything here can be done in integer
 arithmetic. Just be careful to maintain sufficient
 precision all the way through.
 Note: in floating point, no overflow or underflow checks are
 needed, because the input sample values are guaranteed to be
 between 0 and 1, and compositing always yields a result that is in
 between the input values (inclusive). With integer arithmetic,
 some roundoff-error analysis might be needed to guarantee no
 overflow or underflow.
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 When displaying a PNG image with full alpha channel, it is
 important to be able to composite the image against some
 background, even if it's only black. Ignoring the alpha channel
 will cause PNG images that have been converted from an
 associated-alpha representation to look wrong. (Of course, if the
 alpha channel is a separate transparency mask, then ignoring alpha
 is a useful option: it allows the hidden parts of the image to be
 recovered.)
 Even if the decoder author does not wish to implement true
 compositing logic, it is simple to deal with images that contain
 only zero and one alpha values. (This is implicitly true for
 grayscale and truecolor PNG files that use a tRNS chunk; for
 indexed-color PNG files, it is easy to check whether tRNS contains
 any values other than 0 and 255.) In this simple case,
 transparent pixels are replaced by the background color, while
 others are unchanged. If a decoder contains only this much
 transparency capability, it should deal with a full alpha channel
 by treating all nonzero alpha values as fully opaque; that is, do
 not replace partially transparent pixels by the background. This
 approach will not yield very good results for images converted
 from associated-alpha formats, but it's better than doing nothing.
 10.9. Progressive display
 When receiving images over slow transmission links, decoders can
 improve perceived performance by displaying interlaced images
 progressively. This means that as each pass is received, an
 approximation to the complete image is displayed based on the data
 received so far. One simple yet pleasing effect can be obtained
 by expanding each received pixel to fill a rectangle covering the
 yet-to-be-transmitted pixel positions below and to the right of
 the received pixel. This process can be described by the
 following pseudocode:
 Starting_Row [1..7] = { 0, 0, 4, 0, 2, 0, 1 }
 Starting_Col [1..7] = { 0, 4, 0, 2, 0, 1, 0 }
 Row_Increment [1..7] = { 8, 8, 8, 4, 4, 2, 2 }
 Col_Increment [1..7] = { 8, 8, 4, 4, 2, 2, 1 }
 Block_Height [1..7] = { 8, 8, 4, 4, 2, 2, 1 }
 Block_Width [1..7] = { 8, 4, 4, 2, 2, 1, 1 }
 pass := 1
 while pass <= 7
 begin
 row := Starting_Row[pass]
 while row < height
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 begin
 col := Starting_Col[pass]
 while col < width
 begin
 visit (row, col,
 min (Block_Height[pass], height - row),
 min (Block_Width[pass], width - col))
 col := col + Col_Increment[pass]
 end
 row := row + Row_Increment[pass]
 end
 pass := pass + 1
 end
 Here, the function "visit(row,column,height,width)" obtains the
 next transmitted pixel and paints a rectangle of the specified
 height and width, whose upper-left corner is at the specified row
 and column, using the color indicated by the pixel. Note that row
 and column are measured from 0,0 at the upper left corner.
 If the decoder is merging the received image with a background
 image, it may be more convenient just to paint the received pixel
 positions; that is, the "visit()" function sets only the pixel at
 the specified row and column, not the whole rectangle. This
 produces a "fade-in" effect as the new image gradually replaces
 the old. An advantage of this approach is that proper alpha or
 transparency processing can be done as each pixel is replaced.
 Painting a rectangle as described above will overwrite
 background-image pixels that may be needed later, if the pixels
 eventually received for those positions turn out to be wholly or
 partially transparent. Of course, this is only a problem if the
 background image is not stored anywhere offscreen.
 10.10. Suggested-palette and histogram usage
 In truecolor PNG files, the encoder may have provided a suggested
 PLTE chunk for use by viewers running on indexed-color hardware.
 If the image has a tRNS chunk, the viewer will need to adapt the
 suggested palette for use with its desired background color. To
 do this, replace the palette entry closest to the tRNS color with
 the desired background color; or just add a palette entry for the
 background color, if the viewer can handle more colors than there
 are PLTE entries.
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 For images of color type 6 (truecolor with alpha channel), any
 suggested palette should have been designed for display of the
 image against a uniform background of the color specified by bKGD.
 Viewers should probably ignore the palette if they intend to use a
 different background, or if the bKGD chunk is missing. Viewers
 can use a suggested palette for display against a different
 background than it was intended for, but the results may not be
 very good.
 If the viewer presents a transparent truecolor image against a
 background that is more complex than a single color, it is
 unlikely that the suggested palette will be optimal for the
 composite image. In this case it is best to perform a truecolor
 compositing step on the truecolor PNG image and background image,
 then color-quantize the resulting image.
 The histogram chunk is useful when the viewer cannot provide as
 many colors as are used in the image's palette. If the viewer is
 only short a few colors, it is usually adequate to drop the
 least-used colors from the palette. To reduce the number of
 colors substantially, it's best to choose entirely new
 representative colors, rather than trying to use a subset of the
 existing palette. This amounts to performing a new color
 quantization step; however, the existing palette and histogram can
 be used as the input data, thus avoiding a scan of the image data.
 If no palette or histogram chunk is provided, a decoder can
 develop its own, at the cost of an extra pass over the image data.
 Alternatively, a default palette (probably a color cube) can be
 used.
 See also Recommendations for Encoders: Suggested palettes (Section
 9.5).
 10.11. Text chunk processing
 If practical, decoders should have a way to display to the user
 all tEXt and zTXt chunks found in the file. Even if the decoder
 does not recognize a particular text keyword, the user might be
 able to understand it.
 PNG text is not supposed to contain any characters outside the ISO
 8859-1 "Latin-1" character set (that is, no codes 0-31 or 127-
 159), except for the newline character (decimal 10). But decoders
 might encounter such characters anyway. Some of these characters
 can be safely displayed (e.g., TAB, FF, and CR, decimal 9, 12, and
 13, respectively), but others, especially the ESC character
 (decimal 27), could pose a security hazard because unexpected
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RFC 2083 PNG: Portable Network Graphics March 1997
 actions may be taken by display hardware or software. To prevent
 such hazards, decoders should not attempt to directly display any
 non-Latin-1 characters (except for newline and perhaps TAB, FF,
 CR) encountered in a tEXt or zTXt chunk. Instead, ignore them or
 display them in a visible notation such as "\nnn". See Security
 considerations (Section 8.5).
 Even though encoders are supposed to represent newlines as LF, it
 is recommended that decoders not rely on this; it's best to
 recognize all the common newline combinations (CR, LF, and CR-LF)
 and display each as a single newline. TAB can be expanded to the
 proper number of spaces needed to arrive at a column multiple of
 8.
 Decoders running on systems with non-Latin-1 character set
 encoding should provide character code remapping so that Latin-1
 characters are displayed correctly. Some systems may not provide
 all the characters defined in Latin-1. Mapping unavailable
 characters to a visible notation such as "\nnn" is a good
 fallback. In particular, character codes 127-255 should be
 displayed only if they are printable characters on the decoding
 system. Some systems may interpret such codes as control
 characters; for security, decoders running on such systems should
 not display such characters literally.
 Decoders should be prepared to display text chunks that contain
 any number of printing characters between newline characters, even
 though encoders are encouraged to avoid creating lines in excess
 of 79 characters.
11. Glossary
 a^b
 Exponentiation; a raised to the power b. C programmers should be
 careful not to misread this notation as exclusive-or. Note that
 in gamma-related calculations, zero raised to any power is valid
 and must give a zero result.
 Alpha
 A value representing a pixel's degree of transparency. The more
 transparent a pixel, the less it hides the background against
 which the image is presented. In PNG, alpha is really the degree
 of opacity: zero alpha represents a completely transparent pixel,
 maximum alpha represents a completely opaque pixel. But most
 people refer to alpha as providing transparency information, not
 opacity information, and we continue that custom here.
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 Ancillary chunk
 A chunk that provides additional information. A decoder can still
 produce a meaningful image, though not necessarily the best
 possible image, without processing the chunk.
 Bit depth
 The number of bits per palette index (in indexed-color PNGs) or
 per sample (in other color types). This is the same value that
 appears in IHDR.
 Byte
 Eight bits; also called an octet.
 Channel
 The set of all samples of the same kind within an image; for
 example, all the blue samples in a truecolor image. (The term
 "component" is also used, but not in this specification.) A
 sample is the intersection of a channel and a pixel.
 Chromaticity
 A pair of values x,y that precisely specify the hue, though not
 the absolute brightness, of a perceived color.
 Chunk
 A section of a PNG file. Each chunk has a type indicated by its
 chunk type name. Most types of chunks also include some data.
 The format and meaning of the data within the chunk are determined
 by the type name.
 Composite
 As a verb, to form an image by merging a foreground image and a
 background image, using transparency information to determine
 where the background should be visible. The foreground image is
 said to be "composited against" the background.
 CRC
 Cyclic Redundancy Check. A CRC is a type of check value designed
 to catch most transmission errors. A decoder calculates the CRC
 for the received data and compares it to the CRC that the encoder
 calculated, which is appended to the data. A mismatch indicates
 that the data was corrupted in transit.
 Critical chunk
 A chunk that must be understood and processed by the decoder in
 order to produce a meaningful image from a PNG file.
 CRT
 Cathode Ray Tube: a common type of computer display hardware.
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 Datastream
 A sequence of bytes. This term is used rather than "file" to
 describe a byte sequence that is only a portion of a file. We
 also use it to emphasize that a PNG image might be generated and
 consumed "on the fly", never appearing in a stored file at all.
 Deflate
 The name of the compression algorithm used in standard PNG files,
 as well as in zip, gzip, pkzip, and other compression programs.
 Deflate is a member of the LZ77 family of compression methods.
 Filter
 A transformation applied to image data in hopes of improving its
 compressibility. PNG uses only lossless (reversible) filter
 algorithms.
 Frame buffer
 The final digital storage area for the image shown by a computer
 display. Software causes an image to appear onscreen by loading
 it into the frame buffer.
 Gamma
 The brightness of mid-level tones in an image. More precisely, a
 parameter that describes the shape of the transfer function for
 one or more stages in an imaging pipeline. The transfer function
 is given by the expression
 output = input ^ gamma
 where both input and output are scaled to the range 0 to 1.
 Grayscale
 An image representation in which each pixel is represented by a
 single sample value representing overall luminance (on a scale
 from black to white). PNG also permits an alpha sample to be
 stored for each pixel of a grayscale image.
 Indexed color
 An image representation in which each pixel is represented by a
 single sample that is an index into a palette or lookup table.
 The selected palette entry defines the actual color of the pixel.
 Lossless compression
 Any method of data compression that guarantees the original data
 can be reconstructed exactly, bit-for-bit.
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 Lossy compression
 Any method of data compression that reconstructs the original data
 approximately, rather than exactly.
 LSB
 Least Significant Byte of a multi-byte value.
 Luminance
 Perceived brightness, or grayscale level, of a color. Luminance
 and chromaticity together fully define a perceived color.
 LUT
 Look Up Table. In general, a table used to transform data. In
 frame buffer hardware, a LUT can be used to map indexed-color
 pixels into a selected set of truecolor values, or to perform
 gamma correction. In software, a LUT can be used as a fast way of
 implementing any one-variable mathematical function.
 MSB
 Most Significant Byte of a multi-byte value.
 Palette
 The set of colors available in an indexed-color image. In PNG, a
 palette is an array of colors defined by red, green, and blue
 samples. (Alpha values can also be defined for palette entries,
 via the tRNS chunk.)
 Pixel
 The information stored for a single grid point in the image. The
 complete image is a rectangular array of pixels.
 PNG editor
 A program that modifies a PNG file and preserves ancillary
 information, including chunks that it does not recognize. Such a
 program must obey the rules given in Chunk Ordering Rules (Chapter
 7).
 Sample
 A single number in the image data; for example, the red value of a
 pixel. A pixel is composed of one or more samples. When
 discussing physical data layout (in particular, in Image layout,
 Section 2.3), we use "sample" to mean a number stored in the image
 array. It would be more precise but much less readable to say
 "sample or palette index" in that context. Elsewhere in the
 specification, "sample" means a color value or alpha value. In
 the indexed-color case, these are palette entries not palette
 indexes.
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 Sample depth
 The precision, in bits, of color values and alpha values. In
 indexed-color PNGs the sample depth is always 8 by definition of
 the PLTE chunk. In other color types it is the same as the bit
 depth.
 Scanline
 One horizontal row of pixels within an image.
 Truecolor
 An image representation in which pixel colors are defined by
 storing three samples for each pixel, representing red, green, and
 blue intensities respectively. PNG also permits an alpha sample
 to be stored for each pixel of a truecolor image.
 White point
 The chromaticity of a computer display's nominal white value.
 zlib
 A particular format for data that has been compressed using
 deflate-style compression. Also the name of a library
 implementing this method. PNG implementations need not use the
 zlib library, but they must conform to its format for compressed
 data.
12. Appendix: Rationale
 (This appendix is not part of the formal PNG specification.)
 This appendix gives the reasoning behind some of the design decisions
 in PNG. Many of these decisions were the subject of considerable
 debate. The authors freely admit that another group might have made
 different decisions; however, we believe that our choices are
 defensible and consistent.
 12.1. Why a new file format?
 Does the world really need yet another graphics format? We
 believe so. GIF is no longer freely usable, but no other commonly
 used format can directly replace it, as is discussed in more
 detail below. We might have used an adaptation of an existing
 format, for example GIF with an unpatented compression scheme.
 But this would require new code anyway; it would not be all that
 much easier to implement than a whole new file format. (PNG is
 designed to be simple to implement, with the exception of the
 compression engine, which would be needed in any case.) We feel
 that this is an excellent opportunity to design a new format that
 fixes some of the known limitations of GIF.
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 12.2. Why these features?
 The features chosen for PNG are intended to address the needs of
 applications that previously used the special strengths of GIF.
 In particular, GIF is well adapted for online communications
 because of its streamability and progressive display capability.
 PNG shares those attributes.
 We have also addressed some of the widely known shortcomings of
 GIF. In particular, PNG supports truecolor images. We know of no
 widely used image format that losslessly compresses truecolor
 images as effectively as PNG does. We hope that PNG will make use
 of truecolor images more practical and widespread.
 Some form of transparency control is desirable for applications in
 which images are displayed against a background or together with
 other images. GIF provided a simple transparent-color
 specification for this purpose. PNG supports a full alpha channel
 as well as transparent-color specifications. This allows both
 highly flexible transparency and compression efficiency.
 Robustness against transmission errors has been an important
 consideration. For example, images transferred across Internet
 are often mistakenly processed as text, leading to file
 corruption. PNG is designed so that such errors can be detected
 quickly and reliably.
 PNG has been expressly designed not to be completely dependent on
 a single compression technique. Although deflate/inflate
 compression is mentioned in this document, PNG would still exist
 without it.
 12.3. Why not these features?
 Some features have been deliberately omitted from PNG. These
 choices were made to simplify implementation of PNG, promote
 portability and interchangeability, and make the format as simple
 and foolproof as possible for users. In particular:
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 * There is no uncompressed variant of PNG. It is possible to
 store uncompressed data by using only uncompressed deflate
 blocks (a feature normally used to guarantee that deflate
 does not make incompressible data much larger). However,
 PNG software must support full deflate/inflate; any software
 that does not is not compliant with the PNG standard. The
 two most important features of PNG---portability and
 compression---are absolute requirements for online
 applications, and users demand them. Failure to support full
 deflate/inflate compromises both of these objectives.
 * There is no lossy compression in PNG. Existing formats such
 as JFIF already handle lossy compression well. Furthermore,
 available lossy compression methods (e.g., JPEG) are far
 from foolproof --- a poor choice of quality level can ruin
 an image. To avoid user confusion and unintentional loss of
 information, we feel it is best to keep lossy and lossless
 formats strictly separate. Also, lossy compression is
 complex to implement. Adding JPEG support to a PNG decoder
 might increase its size by an order of magnitude. This
 would certainly cause some decoders to omit support for the
 feature, which would destroy our goal of interchangeability.
 * There is no support for CMYK or other unusual color spaces.
 Again, this is in the name of promoting portability. CMYK,
 in particular, is far too device-dependent to be useful as a
 portable image representation.
 * There is no standard chunk for thumbnail views of images.
 In discussions with software vendors who use thumbnails in
 their products, it has become clear that most would not use
 a "standard" thumbnail chunk. For one thing, every vendor
 has a different idea of what the dimensions and
 characteristics of a thumbnail ought to be. Also, some
 vendors keep thumbnails in separate files to accommodate
 varied image formats; they are not going to stop doing that
 simply because of a thumbnail chunk in one new format.
 Proprietary chunks containing vendor-specific thumbnails
 appear to be more practical than a common thumbnail format.
 It is worth noting that private extensions to PNG could easily add
 these features. We will not, however, include them as part of the
 basic PNG standard.
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 PNG also does not support multiple images in one file. This
 restriction is a reflection of the reality that many applications
 do not need and will not support multiple images per file. In any
 case, single images are a fundamentally different sort of object
 from sequences of images. Rather than make false promises of
 interchangeability, we have drawn a clear distinction between
 single-image and multi-image formats. PNG is a single-image
 format. (But see Multiple-image extension, Section 8.4.)
 12.4. Why not use format X?
 Numerous existing formats were considered before deciding to
 develop PNG. None could meet the requirements we felt were
 important for PNG.
 GIF is no longer suitable as a universal standard because of legal
 entanglements. Although just replacing GIF's compression method
 would avoid that problem, GIF does not support truecolor images,
 alpha channels, or gamma correction. The spec has more subtle
 problems too. Only a small subset of the GIF89 spec is actually
 portable across a variety of implementations, but there is no
 codification of the most portable part of the spec.
 TIFF is far too complex to meet our goals of simplicity and
 interchangeability. Defining a TIFF subset would meet that
 objection, but would frustrate users making the reasonable
 assumption that a file saved as TIFF from their existing software
 would load into a program supporting our flavor of TIFF.
 Furthermore, TIFF is not designed for stream processing, has no
 provision for progressive display, and does not currently provide
 any good, legally unencumbered, lossless compression method.
 IFF has also been suggested, but is not suitable in detail:
 available image representations are too machine-specific or not
 adequately compressed. The overall chunk structure of IFF is a
 useful concept that PNG has liberally borrowed from, but we did
 not attempt to be bit-for-bit compatible with IFF chunk structure.
 Again this is due to detailed issues, notably the fact that IFF
 FORMs are not designed to be serially writable.
 Lossless JPEG is not suitable because it does not provide for the
 storage of indexed-color images. Furthermore, its lossless
 truecolor compression is often inferior to that of PNG.
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 12.5. Byte order
 It has been asked why PNG uses network byte order. We have
 selected one byte ordering and used it consistently. Which order
 in particular is of little relevance, but network byte order has
 the advantage that routines to convert to and from it are already
 available on any platform that supports TCP/IP networking,
 including all PC platforms. The functions are trivial and will be
 included in the reference implementation.
 12.6. Interlacing
 PNG's two-dimensional interlacing scheme is more complex to
 implement than GIF's line-wise interlacing. It also costs a
 little more in file size. However, it yields an initial image
 eight times faster than GIF (the first pass transmits only 1/64th
 of the pixels, compared to 1/8th for GIF). Although this initial
 image is coarse, it is useful in many situations. For example, if
 the image is a World Wide Web imagemap that the user has seen
 before, PNG's first pass is often enough to determine where to
 click. The PNG scheme also looks better than GIF's, because
 horizontal and vertical resolution never differ by more than a
 factor of two; this avoids the odd "stretched" look seen when
 interlaced GIFs are filled in by replicating scanlines.
 Preliminary results show that small text in an interlaced PNG
 image is typically readable about twice as fast as in an
 equivalent GIF, i.e., after PNG's fifth pass or 25% of the image
 data, instead of after GIF's third pass or 50%. This is again due
 to PNG's more balanced increase in resolution.
 12.7. Why gamma?
 It might seem natural to standardize on storing sample values that
 are linearly proportional to light intensity (that is, have gamma
 of 1.0). But in fact, it is common for images to have a gamma of
 less than 1. There are three good reasons for this:
 * For reasons detailed in Gamma Tutorial (Chapter 13), all
 video cameras apply a "gamma correction" function to the
 intensity information. This causes the video signal to have
 a gamma of about 0.5 relative to the light intensity in the
 original scene. Thus, images obtained by frame-grabbing
 video already have a gamma of about 0.5.
 * The human eye has a nonlinear response to intensity, so
 linear encoding of samples either wastes sample codes in
 bright areas of the image, or provides too few sample codes
 to avoid banding artifacts in dark areas of the image, or
 both. At least 12 bits per sample are needed to avoid
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 visible artifacts in linear encoding with a 100:1 image
 intensity range. An image gamma in the range 0.3 to 0.5
 allocates sample values in a way that roughly corresponds to
 the eye's response, so that 8 bits/sample are enough to
 avoid artifacts caused by insufficient sample precision in
 almost all images. This makes "gamma encoding" a much
 better way of storing digital images than the simpler linear
 encoding.
 * Many images are created on PCs or workstations with no gamma
 correction hardware and no software willing to provide gamma
 correction either. In these cases, the images have had
 their lighting and color chosen to look best on this
 platform --- they can be thought of as having "manual" gamma
 correction built in. To see what the image author intended,
 it is necessary to treat such images as having a file_gamma
 value in the range 0.4-0.6, depending on the room lighting
 level that the author was working in.
 In practice, image gamma values around 1.0 and around 0.5 are both
 widely found. Older image standards such as GIF often do not
 account for this fact. The JFIF standard specifies that images in
 that format should use linear samples, but many JFIF images found
 on the Internet actually have a gamma somewhere near 0.4 or 0.5.
 The variety of images found and the variety of systems that people
 display them on have led to widespread problems with images
 appearing "too dark" or "too light".
 PNG expects viewers to compensate for image gamma at the time that
 the image is displayed. Another possible approach is to expect
 encoders to convert all images to a uniform gamma at encoding
 time. While that method would speed viewers slightly, it has
 fundamental flaws:
 * Gamma correction is inherently lossy due to quantization and
 roundoff error. Requiring conversion at encoding time thus
 causes irreversible loss. Since PNG is intended to be a
 lossless storage format, this is undesirable; we should
 store unmodified source data.
 * The encoder might not know the source gamma value. If the
 decoder does gamma correction at viewing time, it can adjust
 the gamma (change the displayed brightness) in response to
 feedback from a human user. The encoder has no such
 recourse.
 * Whatever "standard" gamma we settled on would be wrong for
 some displays. Hence viewers would still need gamma
 correction capability.
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RFC 2083 PNG: Portable Network Graphics March 1997
 Since there will always be images with no gamma or an incorrect
 recorded gamma, good viewers will need to incorporate gamma
 adjustment code anyway. Gamma correction at viewing time is thus
 the right way to go.
 See Gamma Tutorial (Chapter 13) for more information.
 12.8. Non-premultiplied alpha
 PNG uses "unassociated" or "non-premultiplied" alpha so that
 images with separate transparency masks can be stored losslessly.
 Another common technique, "premultiplied alpha", stores pixel
 values premultiplied by the alpha fraction; in effect, the image
 is already composited against a black background. Any image data
 hidden by the transparency mask is irretrievably lost by that
 method, since multiplying by a zero alpha value always produces
 zero.
 Some image rendering techniques generate images with premultiplied
 alpha (the alpha value actually represents how much of the pixel
 is covered by the image). This representation can be converted to
 PNG by dividing the sample values by alpha, except where alpha is
 zero. The result will look good if displayed by a viewer that
 handles alpha properly, but will not look very good if the viewer
 ignores the alpha channel.
 Although each form of alpha storage has its advantages, we did not
 want to require all PNG viewers to handle both forms. We
 standardized on non-premultiplied alpha as being the lossless and
 more general case.
 12.9. Filtering
 PNG includes filtering capability because filtering can
 significantly reduce the compressed size of truecolor and
 grayscale images. Filtering is also sometimes of value on
 indexed-color images, although this is less common.
 The filter algorithms are defined to operate on bytes, rather than
 pixels; this gains simplicity and speed with very little cost in
 compression performance. Tests have shown that filtering is
 usually ineffective for images with fewer than 8 bits per sample,
 so providing pixelwise filtering for such images would be
 pointless. For 16 bit/sample data, bytewise filtering is nearly
 as effective as pixelwise filtering, because MSBs are predicted
 from adjacent MSBs, and LSBs are predicted from adjacent LSBs.
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 The encoder is allowed to change filters for each new scanline.
 This creates no additional complexity for decoders, since a
 decoder is required to contain defiltering logic for every filter
 type anyway. The only cost is an extra byte per scanline in the
 pre-compression datastream. Our tests showed that when the same
 filter is selected for all scanlines, this extra byte compresses
 away to almost nothing, so there is little storage cost compared
 to a fixed filter specified for the whole image. And the
 potential benefits of adaptive filtering are too great to ignore.
 Even with the simplistic filter-choice heuristics so far
 discovered, adaptive filtering usually outperforms fixed filters.
 In particular, an adaptive filter can change behavior for
 successive passes of an interlaced image; a fixed filter cannot.
 12.10. Text strings
 Most graphics file formats include the ability to store some
 textual information along with the image. But many applications
 need more than that: they want to be able to store several
 identifiable pieces of text. For example, a database using PNG
 files to store medical X-rays would likely want to include
 patient's name, doctor's name, etc. A simple way to do this in
 PNG would be to invent new private chunks holding text. The
 disadvantage of such an approach is that other applications would
 have no idea what was in those chunks, and would simply ignore
 them. Instead, we recommend that textual information be stored in
 standard tEXt chunks with suitable keywords. Use of tEXt tells
 any PNG viewer that the chunk contains text that might be of
 interest to a human user. Thus, a person looking at the file with
 another viewer will still be able to see the text, and even
 understand what it is if the keywords are reasonably self-
 explanatory. (To this end, we recommend spelled-out keywords, not
 abbreviations that will be hard for a person to understand.
 Saving a few bytes on a keyword is false economy.)
 The ISO 8859-1 (Latin-1) character set was chosen as a compromise
 between functionality and portability. Some platforms cannot
 display anything more than 7-bit ASCII characters, while others
 can handle characters beyond the Latin-1 set. We felt that
 Latin-1 represents a widely useful and reasonably portable
 character set. Latin-1 is a direct subset of character sets
 commonly used on popular platforms such as Microsoft Windows and X
 Windows. It can also be handled on Macintosh systems with a
 simple remapping of characters.
 There is presently no provision for text employing character sets
 other than Latin-1. We recognize that the need for other character
 sets will increase. However, PNG already requires that
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 programmers implement a number of new and unfamiliar features, and
 text representation is not PNG's primary purpose. Since PNG
 provides for the creation and public registration of new ancillary
 chunks of general interest, we expect that text chunks for other
 character sets, such as Unicode, eventually will be registered and
 increase gradually in popularity.
 12.11. PNG file signature
 The first eight bytes of a PNG file always contain the following
 values:
 (decimal) 137 80 78 71 13 10 26 10
 (hexadecimal) 89 50 4e 47 0d 0a 1a 0a
 (ASCII C notation) 211円 P N G \r \n 032円 \n
 This signature both identifies the file as a PNG file and provides
 for immediate detection of common file-transfer problems. The
 first two bytes distinguish PNG files on systems that expect the
 first two bytes to identify the file type uniquely. The first
 byte is chosen as a non-ASCII value to reduce the probability that
 a text file may be misrecognized as a PNG file; also, it catches
 bad file transfers that clear bit 7. Bytes two through four name
 the format. The CR-LF sequence catches bad file transfers that
 alter newline sequences. The control-Z character stops file
 display under MS-DOS. The final line feed checks for the inverse
 of the CR-LF translation problem.
 A decoder may further verify that the next eight bytes contain an
 IHDR chunk header with the correct chunk length; this will catch
 bad transfers that drop or alter null (zero) bytes.
 Note that there is no version number in the signature, nor indeed
 anywhere in the file. This is intentional: the chunk mechanism
 provides a better, more flexible way to handle format extensions,
 as explained in Chunk naming conventions (Section 12.13).
 12.12. Chunk layout
 The chunk design allows decoders to skip unrecognized or
 uninteresting chunks: it is simply necessary to skip the
 appropriate number of bytes, as determined from the length field.
 Limiting chunk length to (2^31)-1 bytes avoids possible problems
 for implementations that cannot conveniently handle 4-byte
 unsigned values. In practice, chunks will usually be much shorter
 than that anyway.
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 A separate CRC is provided for each chunk in order to detect
 badly-transferred images as quickly as possible. In particular,
 critical data such as the image dimensions can be validated before
 being used.
 The chunk length is excluded from the CRC so that the CRC can be
 calculated as the data is generated; this avoids a second pass
 over the data in cases where the chunk length is not known in
 advance. Excluding the length from the CRC does not create any
 extra risk of failing to discover file corruption, since if the
 length is wrong, the CRC check will fail: the CRC will be computed
 on the wrong set of bytes and then be tested against the wrong
 value from the file.
 12.13. Chunk naming conventions
 The chunk naming conventions allow safe, flexible extension of the
 PNG format. This mechanism is much better than a format version
 number, because it works on a feature-by-feature basis rather than
 being an overall indicator. Decoders can process newer files if
 and only if the files use no unknown critical features (as
 indicated by finding unknown critical chunks). Unknown ancillary
 chunks can be safely ignored. We decided against having an
 overall format version number because experience has shown that
 format version numbers hurt portability as much as they help.
 Version numbers tend to be set unnecessarily high, leading to
 older decoders rejecting files that they could have processed
 (this was a serious problem for several years after the GIF89 spec
 came out, for example). Furthermore, private extensions can be
 made either critical or ancillary, and standard decoders should
 react appropriately; overall version numbers are no help for
 private extensions.
 A hypothetical chunk for vector graphics would be a critical
 chunk, since if ignored, important parts of the intended image
 would be missing. A chunk carrying the Mandelbrot set coordinates
 for a fractal image would be ancillary, since other applications
 could display the image without understanding what the image
 represents. In general, a chunk type should be made critical only
 if it is impossible to display a reasonable representation of the
 intended image without interpreting that chunk.
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 The public/private property bit ensures that any newly defined
 public chunk type name cannot conflict with proprietary chunks
 that could be in use somewhere. However, this does not protect
 users of private chunk names from the possibility that someone
 else may use the same chunk name for a different purpose. It is a
 good idea to put additional identifying information at the start
 of the data for any private chunk type.
 When a PNG file is modified, certain ancillary chunks may need to
 be changed to reflect changes in other chunks. For example, a
 histogram chunk needs to be changed if the image data changes. If
 the file editor does not recognize histogram chunks, copying them
 blindly to a new output file is incorrect; such chunks should be
 dropped. The safe/unsafe property bit allows ancillary chunks to
 be marked appropriately.
 Not all possible modification scenarios are covered by the
 safe/unsafe semantics. In particular, chunks that are dependent
 on the total file contents are not supported. (An example of such
 a chunk is an index of IDAT chunk locations within the file:
 adding a comment chunk would inadvertently break the index.)
 Definition of such chunks is discouraged. If absolutely necessary
 for a particular application, such chunks can be made critical
 chunks, with consequent loss of portability to other applications.
 In general, ancillary chunks can depend on critical chunks but not
 on other ancillary chunks. It is expected that mutually dependent
 information should be put into a single chunk.
 In some situations it may be unavoidable to make one ancillary
 chunk dependent on another. Although the chunk property bits are
 insufficient to represent this case, a simple solution is
 available: in the dependent chunk, record the CRC of the chunk
 depended on. It can then be determined whether that chunk has
 been changed by some other program.
 The same technique can be useful for other purposes. For example,
 if a program relies on the palette being in a particular order, it
 can store a private chunk containing the CRC of the PLTE chunk.
 If this value matches when the file is again read in, then it
 provides high confidence that the palette has not been tampered
 with. Note that it is not necessary to mark the private chunk
 unsafe-to-copy when this technique is used; thus, such a private
 chunk can survive other editing of the file.
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 12.14. Palette histograms
 A viewer may not be able to provide as many colors as are listed
 in the image's palette. (For example, some colors could be
 reserved by a window system.) To produce the best results in this
 situation, it is helpful to have information about the frequency
 with which each palette index actually appears, in order to choose
 the best palette for dithering or to drop the least-used colors.
 Since images are often created once and viewed many times, it
 makes sense to calculate this information in the encoder, although
 it is not mandatory for the encoder to provide it.
 Other image formats have usually addressed this problem by
 specifying that the palette entries should appear in order of
 frequency of use. That is an inferior solution, because it
 doesn't give the viewer nearly as much information: the viewer
 can't determine how much damage will be done by dropping the last
 few colors. Nor does a sorted palette give enough information to
 choose a target palette for dithering, in the case that the viewer
 needs to reduce the number of colors substantially. A palette
 histogram provides the information needed to choose such a target
 palette without making a pass over the image data.
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13. Appendix: Gamma Tutorial
 (This appendix is not part of the formal PNG specification.)
 It would be convenient for graphics programmers if all of the
 components of an imaging system were linear. The voltage coming from
 an electronic camera would be directly proportional to the intensity
 (power) of light in the scene, the light emitted by a CRT would be
 directly proportional to its input voltage, and so on. However,
 real-world devices do not behave in this way. All CRT displays,
 almost all photographic film, and many electronic cameras have
 nonlinear signal-to-light-intensity or intensity-to-signal
 characteristics.
 Fortunately, all of these nonlinear devices have a transfer function
 that is approximated fairly well by a single type of mathematical
 function: a power function. This power function has the general
 equation
 output = input ^ gamma
 where ^ denotes exponentiation, and "gamma" (often printed using the
 Greek letter gamma, thus the name) is simply the exponent of the
 power function.
 By convention, "input" and "output" are both scaled to the range
 0..1, with 0 representing black and 1 representing maximum white (or
 red, etc). Normalized in this way, the power function is completely
 described by a single number, the exponent "gamma".
 So, given a particular device, we can measure its output as a
 function of its input, fit a power function to this measured transfer
 function, extract the exponent, and call it gamma. We often say
 "this device has a gamma of 2.5" as a shorthand for "this device has
 a power-law response with an exponent of 2.5". We can also talk
 about the gamma of a mathematical transform, or of a lookup table in
 a frame buffer, so long as the input and output of the thing are
 related by the power-law expression above.
 How do gammas combine?
 Real imaging systems will have several components, and more than
 one of these can be nonlinear. If all of the components have
 transfer characteristics that are power functions, then the
 transfer function of the entire system is also a power function.
 The exponent (gamma) of the whole system's transfer function is
 just the product of all of the individual exponents (gammas) of
 the separate stages in the system.
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 Also, stages that are linear pose no problem, since a power
 function with an exponent of 1.0 is really a linear function. So
 a linear transfer function is just a special case of a power
 function, with a gamma of 1.0.
 Thus, as long as our imaging system contains only stages with
 linear and power-law transfer functions, we can meaningfully talk
 about the gamma of the entire system. This is indeed the case
 with most real imaging systems.
 What should overall gamma be?
 If the overall gamma of an imaging system is 1.0, its output is
 linearly proportional to its input. This means that the ratio
 between the intensities of any two areas in the reproduced image
 will be the same as it was in the original scene. It might seem
 that this should always be the goal of an imaging system: to
 accurately reproduce the tones of the original scene. Alas, that
 is not the case.
 When the reproduced image is to be viewed in "bright surround"
 conditions, where other white objects nearby in the room have
 about the same brightness as white in the image, then an overall
 gamma of 1.0 does indeed give real-looking reproduction of a
 natural scene. Photographic prints viewed under room light and
 computer displays in bright room light are typical "bright
 surround" viewing conditions.
 However, sometimes images are intended to be viewed in "dark
 surround" conditions, where the room is substantially black except
 for the image. This is typical of the way movies and slides
 (transparencies) are viewed by projection. Under these
 circumstances, an accurate reproduction of the original scene
 results in an image that human viewers judge as "flat" and lacking
 in contrast. It turns out that the projected image needs to have
 a gamma of about 1.5 relative to the original scene for viewers to
 judge it "natural". Thus, slide film is designed to have a gamma
 of about 1.5, not 1.0.
 There is also an intermediate condition called "dim surround",
 where the rest of the room is still visible to the viewer, but is
 noticeably darker than the reproduced image itself. This is
 typical of television viewing, at least in the evening, as well as
 subdued-light computer work areas. In dim surround conditions,
 the reproduced image needs to have a gamma of about 1.25 relative
 to the original scene in order to look natural.
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 The requirement for boosted contrast (gamma) in dark surround
 conditions is due to the way the human visual system works, and
 applies equally well to computer monitors. Thus, a PNG viewer
 trying to achieve the maximum realism for the images it displays
 really needs to know what the room lighting conditions are, and
 adjust the gamma of the displayed image accordingly.
 If asking the user about room lighting conditions is inappropriate
 or too difficult, just assume that the overall gamma
 (viewing_gamma as defined below) should be 1.0 or 1.25. That's
 all that most systems that implement gamma correction do.
 What is a CRT's gamma?
 All CRT displays have a power-law transfer characteristic with a
 gamma of about 2.5. This is due to the physical processes
 involved in controlling the electron beam in the electron gun, and
 has nothing to do with the phosphor.
 An exception to this rule is fancy "calibrated" CRTs that have
 internal electronics to alter their transfer function. If you
 have one of these, you probably should believe what the
 manufacturer tells you its gamma is. But in all other cases,
 assuming 2.5 is likely to be pretty accurate.
 There are various images around that purport to measure gamma,
 usually by comparing the intensity of an area containing
 alternating white and black with a series of areas of continuous
 gray of different intensity. These are usually not reliable.
 Test images that use a "checkerboard" pattern of black and white
 are the worst, because a single white pixel will be reproduced
 considerably darker than a large area of white. An image that
 uses alternating black and white horizontal lines (such as the
 "gamma.png" test image at
 ftp://ftp.uu.net/graphics/png/images/suite/gamma.png) is much
 better, but even it may be inaccurate at high "picture" settings
 on some CRTs.
 If you have a good photometer, you can measure the actual light
 output of a CRT as a function of input voltage and fit a power
 function to the measurements. However, note that this procedure
 is very sensitive to the CRT's black level adjustment, somewhat
 sensitive to its picture adjustment, and also affected by ambient
 light. Furthermore, CRTs spread some light from bright areas of
 an image into nearby darker areas; a single bright spot against a
 black background may be seen to have a "halo". Your measuring
 technique will need to minimize the effects of this.
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 Because of the difficulty of measuring gamma, using either test
 images or measuring equipment, you're usually better off just
 assuming gamma is 2.5 rather than trying to measure it.
 What is gamma correction?
 A CRT has a gamma of 2.5, and we can't change that. To get an
 overall gamma of 1.0 (or somewhere near that) for an imaging
 system, we need to have at least one other component of the "image
 pipeline" that is nonlinear. If, in fact, there is only one
 nonlinear stage in addition to the CRT, then it's traditional to
 say that the CRT has a certain gamma, and that the other nonlinear
 stage provides "gamma correction" to compensate for the CRT.
 However, exactly where the "correction" is done depends on
 circumstance.
 In all broadcast video systems, gamma correction is done in the
 camera. This choice was made in the days when television
 electronics were all analog, and a good gamma-correction circuit
 was expensive to build. The original NTSC video standard required
 cameras to have a transfer function with a gamma of 1/2.2, or
 about 0.45. Recently, a more complex two-part transfer function
 has been adopted [SMPTE-170M], but its behavior can be well
 approximated by a power function with a gamma of 0.5. When the
 resulting image is displayed on a CRT with a gamma of 2.5, the
 image on screen ends up with a gamma of about 1.25 relative to the
 original scene, which is appropriate for "dim surround" viewing.
 These days, video signals are often digitized and stored in
 computer frame buffers. This works fine, but remember that gamma
 correction is "built into" the video signal, and so the digitized
 video has a gamma of about 0.5 relative to the original scene.
 Computer rendering programs often produce linear samples. To
 display these correctly, intensity on the CRT needs to be directly
 proportional to the sample values in the frame buffer. This can
 be done with a special hardware lookup table between the frame
 buffer and the CRT hardware. The lookup table (often called LUT)
 is loaded with a mapping that implements a power function with a
 gamma of 0.4, thus providing "gamma correction" for the CRT gamma.
 Thus, gamma correction sometimes happens before the frame buffer,
 sometimes after. As long as images created in a particular
 environment are always displayed in that environment, everything
 is fine. But when people try to exchange images, differences in
 gamma correction conventions often result in images that seem far
 too bright and washed out, or far too dark and contrasty.
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 Gamma-encoded samples are good
 So, is it better to do gamma correction before or after the frame
 buffer?
 In an ideal world, sample values would be stored in floating
 point, there would be lots of precision, and it wouldn't really
 matter much. But in reality, we're always trying to store images
 in as few bits as we can.
 If we decide to use samples that are linearly proportional to
 intensity, and do the gamma correction in the frame buffer LUT, it
 turns out that we need to use at least 12 bits for each of red,
 green, and blue to have enough precision in intensity. With any
 less than that, we will sometimes see "contour bands" or "Mach
 bands" in the darker areas of the image, where two adjacent sample
 values are still far enough apart in intensity for the difference
 to be visible.
 However, through an interesting coincidence, the human eye's
 subjective perception of brightness is related to the physical
 stimulation of light intensity in a manner that is very much like
 the power function used for gamma correction. If we apply gamma
 correction to measured (or calculated) light intensity before
 quantizing to an integer for storage in a frame buffer, we can get
 away with using many fewer bits to store the image. In fact, 8
 bits per color is almost always sufficient to avoid contouring
 artifacts. This is because, since gamma correction is so closely
 related to human perception, we are assigning our 256 available
 sample codes to intensity values in a manner that approximates how
 visible those intensity changes are to the eye. Compared to a
 linear-sample image, we allocate fewer sample values to brighter
 parts of the tonal range and more sample values to the darker
 portions of the tonal range.
 Thus, for the same apparent image quality, images using gamma-
 encoded sample values need only about two-thirds as many bits of
 storage as images using linear samples.
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 General gamma handling
 When more than two nonlinear transfer functions are involved in
 the image pipeline, the term "gamma correction" becomes too vague.
 If we consider a pipeline that involves capturing (or calculating)
 an image, storing it in an image file, reading the file, and
 displaying the image on some sort of display screen, there are at
 least 5 places in the pipeline that could have nonlinear transfer
 functions. Let's give each a specific name for their
 characteristic gamma:
 camera_gamma
 the characteristic of the image sensor
 encoding_gamma
 the gamma of any transformation performed by the software
 writing the image file
 decoding_gamma
 the gamma of any transformation performed by the software
 reading the image file
 LUT_gamma
 the gamma of the frame buffer LUT, if present
 CRT_gamma
 the gamma of the CRT, generally 2.5
 In addition, let's add a few other names:
 file_gamma
 the gamma of the image in the file, relative to the original
 scene. This is
 file_gamma = camera_gamma * encoding_gamma
 display_gamma
 the gamma of the "display system" downstream of the frame
 buffer. This is
 display_gamma = LUT_gamma * CRT_gamma
 viewing_gamma
 the overall gamma that we want to obtain to produce pleasing
 images --- generally 1.0 to 1.5.
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 The file_gamma value, as defined above, is what goes in the gAMA
 chunk in a PNG file. If file_gamma is not 1.0, we know that gamma
 correction has been done on the sample values in the file, and we
 could call them "gamma corrected" samples. However, since there
 can be so many different values of gamma in the image display
 chain, and some of them are not known at the time the image is
 written, the samples are not really being "corrected" for a
 specific display condition. We are really using a power function
 in the process of encoding an intensity range into a small integer
 field, and so it is more correct to say "gamma encoded" samples
 instead of "gamma corrected" samples.
 When displaying an image file, the image decoding program is
 responsible for making the overall gamma of the system equal to
 the desired viewing_gamma, by selecting the decoding_gamma
 appropriately. When displaying a PNG file, the gAMA chunk
 provides the file_gamma value. The display_gamma may be known for
 this machine, or it might be obtained from the system software, or
 the user might have to be asked what it is. The correct
 viewing_gamma depends on lighting conditions, and that will
 generally have to come from the user.
 Ultimately, you should have
 file_gamma * decoding_gamma * display_gamma = viewing_gamma
 Some specific examples
 In digital video systems, camera_gamma is about 0.5 by declaration
 of the various video standards documents. CRT_gamma is 2.5 as
 usual, while encoding_gamma, decoding_gamma, and LUT_gamma are all
 1.0. As a result, viewing_gamma ends up being about 1.25.
 On frame buffers that have hardware gamma correction tables, and
 that are calibrated to display linear samples correctly,
 display_gamma is 1.0.
 Many workstations and X terminals and PC displays lack gamma
 correction lookup tables. Here, LUT_gamma is always 1.0, so
 display_gamma is 2.5.
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 On the Macintosh, there is a LUT. By default, it is loaded with a
 table whose gamma is about 0.72, giving a display_gamma (LUT and
 CRT combined) of about 1.8. Some Macs have a "Gamma" control
 panel that allows gamma to be changed to 1.0, 1.2, 1.4, 1.8, or
 2.2. These settings load alternate LUTs that are designed to give
 a display_gamma that is equal to the label on the selected button.
 Thus, the "Gamma" control panel setting can be used directly as
 display_gamma in decoder calculations.
 On recent SGI systems, there is a hardware gamma-correction table
 whose contents are controlled by the (privileged) "gamma" program.
 The gamma of the table is actually the reciprocal of the number
 that "gamma" prints, and it does not include the CRT gamma. To
 obtain the display_gamma, you need to find the SGI system gamma
 (either by looking in a file, or asking the user) and then
 calculating
 display_gamma = 2.5 / SGI_system_gamma
 You will find SGI systems with the system gamma set to 1.0 and 2.2
 (or higher), but the default when machines are shipped is 1.7.
 A note about video gamma
 The original NTSC video standards specified a simple power-law
 camera transfer function with a gamma of 1/2.2 or 0.45. This is
 not possible to implement exactly in analog hardware because the
 function has infinite slope at x=0, so all cameras deviated to
 some degree from this ideal. More recently, a new camera transfer
 function that is physically realizable has been accepted as a
 standard [SMPTE-170M]. It is
 Vout = 4.5 * Vin if Vin < 0.018
 Vout = 1.099 * (Vin^0.45) - 0.099 if Vin >= 0.018
 where Vin and Vout are measured on a scale of 0 to 1. Although
 the exponent remains 0.45, the multiplication and subtraction
 change the shape of the transfer function, so it is no longer a
 pure power function. If you want to perform extremely precise
 calculations on video signals, you should use the expression above
 (or its inverse, as required).
 However, PNG does not provide a way to specify that an image uses
 this exact transfer function; the gAMA chunk always assumes a pure
 power-law function. If we plot the two-part transfer function
 above along with the family of pure power functions, we find that
 a power function with a gamma of about 0.5 to 0.52 (not 0.45) most
 closely approximates the transfer function. Thus, when writing a
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 PNG file with data obtained from digitizing the output of a modern
 video camera, the gAMA chunk should contain 0.5 or 0.52, not 0.45.
 The remaining difference between the true transfer function and
 the power function is insignificant for almost all purposes. (In
 fact, the alignment errors in most cameras are likely to be larger
 than the difference between these functions.) The designers of
 PNG deemed the simplicity and flexibility of a power-law
 definition of gAMA to be more important than being able to
 describe the SMPTE-170M transfer curve exactly.
 The PAL and SECAM video standards specify a power-law camera
 transfer function with a gamma of 1/2.8 or 0.36 --- not the 1/2.2
 of NTSC. However, this is too low in practice, so real cameras
 are likely to have their gamma set close to NTSC practice. Just
 guessing 0.45 or 0.5 is likely to give you viewable results, but
 if you want precise values you'll probably have to measure the
 particular camera.
 Further reading
 If you have access to the World Wide Web, read Charles Poynton's
 excellent "Gamma FAQ" [GAMMA-FAQ] for more information about
 gamma.
14. Appendix: Color Tutorial
 (This appendix is not part of the formal PNG specification.)
 About chromaticity
 The cHRM chunk is used, together with the gAMA chunk, to convey
 precise color information so that a PNG image can be displayed or
 printed with better color fidelity than is possible without this
 information. The preceding chapters state how this information is
 encoded in a PNG image. This tutorial briefly outlines the
 underlying color theory for those who might not be familiar with
 it.
 Note that displaying an image with incorrect gamma will produce
 much larger color errors than failing to use the chromaticity
 data. First be sure the monitor set-up and gamma correction are
 right, then worry about chromaticity.
 The problem
 The color of an object depends not only on the precise spectrum of
 light emitted or reflected from it, but also on the observer ---
 their species, what else they can see at the same time, even what
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 they have recently looked at! Furthermore, two very different
 spectra can produce exactly the same color sensation. Color is
 not an objective property of real-world objects; it is a
 subjective, biological sensation. However, by making some
 simplifying assumptions (such as: we are talking about human
 vision) it is possible to produce a mathematical model of color
 and thereby obtain good color accuracy.
 Device-dependent color
 Display the same RGB data on three different monitors, side by
 side, and you will get a noticeably different color balance on
 each display. This is because each monitor emits a slightly
 different shade and intensity of red, green, and blue light. RGB
 is an example of a device-dependent color model --- the color you
 get depends on the device. This also means that a particular
 color --- represented as say RGB 87, 146, 116 on one monitor ---
 might have to be specified as RGB 98, 123, 104 on another to
 produce the same color.
 Device-independent color
 A full physical description of a color would require specifying
 the exact spectral power distribution of the light source.
 Fortunately, the human eye and brain are not so sensitive as to
 require exact reproduction of a spectrum. Mathematical, device-
 independent color models exist that describe fairly well how a
 particular color will be seen by humans. The most important
 device-independent color model, to which all others can be
 related, was developed by the International Lighting Committee
 (CIE, in French) and is called XYZ.
 In XYZ, X is the sum of a weighted power distribution over the
 whole visible spectrum. So are Y and Z, each with different
 weights. Thus any arbitrary spectral power distribution is
 condensed down to just three floating point numbers. The weights
 were derived from color matching experiments done on human
 subjects in the 1920s. CIE XYZ has been an International Standard
 since 1931, and it has a number of useful properties:
 * two colors with the same XYZ values will look the same to
 humans
 * two colors with different XYZ values will not look the same
 * the Y value represents all the brightness information
 (luminance)
 * the XYZ color of any object can be objectively measured
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 Color models based on XYZ have been used for many years by people
 who need accurate control of color --- lighting engineers for film
 and TV, paint and dyestuffs manufacturers, and so on. They are
 thus proven in industrial use. Accurate, device-independent color
 started to spread from high-end, specialized areas into the
 mainstream during the late 1980s and early 1990s, and PNG takes
 notice of that trend.
 Calibrated, device-dependent color
 Traditionally, image file formats have used uncalibrated, device-
 dependent color. If the precise details of the original display
 device are known, it becomes possible to convert the device-
 dependent colors of a particular image to device-independent ones.
 Making simplifying assumptions, such as working with CRTs (which
 are much easier than printers), all we need to know are the XYZ
 values of each primary color and the CRT_gamma.
 So why does PNG not store images in XYZ instead of RGB? Well, two
 reasons. First, storing images in XYZ would require more bits of
 precision, which would make the files bigger. Second, all
 programs would have to convert the image data before viewing it.
 Whether calibrated or not, all variants of RGB are close enough
 that undemanding viewers can get by with simply displaying the
 data without color correction. By storing calibrated RGB, PNG
 retains compatibility with existing programs that expect RGB data,
 yet provides enough information for conversion to XYZ in
 applications that need precise colors. Thus, we get the best of
 both worlds.
 What are chromaticity and luminance?
 Chromaticity is an objective measurement of the color of an
 object, leaving aside the brightness information. Chromaticity
 uses two parameters x and y, which are readily calculated from
 XYZ:
 x = X / (X + Y + Z)
 y = Y / (X + Y + Z)
 XYZ colors having the same chromaticity values will appear to have
 the same hue but can vary in absolute brightness. Notice that x,y
 are dimensionless ratios, so they have the same values no matter
 what units we've used for X,Y,Z.
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 The Y value of an XYZ color is directly proportional to its
 absolute brightness and is called the luminance of the color. We
 can describe a color either by XYZ coordinates or by chromaticity
 x,y plus luminance Y. The XYZ form has the advantage that it is
 linearly related to (linear, gamma=1.0) RGB color spaces.
 How are computer monitor colors described?
 The "white point" of a monitor is the chromaticity x,y of the
 monitor's nominal white, that is, the color produced when
 R=G=B=maximum.
 It's customary to specify monitor colors by giving the
 chromaticities of the individual phosphors R, G, and B, plus the
 white point. The white point allows one to infer the relative
 brightnesses of the three phosphors, which isn't determined by
 their chromaticities alone.
 Note that the absolute brightness of the monitor is not specified.
 For computer graphics work, we generally don't care very much
 about absolute brightness levels. Instead of dealing with
 absolute XYZ values (in which X,Y,Z are expressed in physical
 units of radiated power, such as candelas per square meter), it is
 convenient to work in "relative XYZ" units, where the monitor's
 nominal white is taken to have a luminance (Y) of 1.0. Given this
 assumption, it's simple to compute XYZ coordinates for the
 monitor's white, red, green, and blue from their chromaticity
 values.
 Why does cHRM use x,y rather than XYZ? Simply because that is how
 manufacturers print the information in their spec sheets!
 Usually, the first thing a program will do is convert the cHRM
 chromaticities into relative XYZ space.
 What can I do with it?
 If a PNG file has the gAMA and cHRM chunks, the source_RGB values
 can be converted to XYZ. This lets you:
 * do accurate grayscale conversion (just use the Y component)
 * convert to RGB for your own monitor (to see the original
 colors)
 * print the image in Level 2 PostScript with better color
 fidelity than a simple RGB to CMYK conversion could provide
 * calculate an optimal color palette
 * pass the image data to a color management system
 * etc.
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RFC 2083 PNG: Portable Network Graphics March 1997
 How do I convert from source_RGB to XYZ?
 Make a few simplifying assumptions first, like the monitor really
 is jet black with no input and the guns don't interfere with one
 another. Then, given that you know the CIE XYZ values for each of
 red, green, and blue for a particular monitor, you put them into a
 matrix m:
 Xr Xg Xb
 m = Yr Yg Yb
 Zr Zg Zb
 Here we assume we are working with linear RGB floating point data
 in the range 0..1. If the gamma is not 1.0, make it so on the
 floating point data. Then convert source_RGB to XYZ by matrix
 multiplication:
 X R
 Y = m G
 Z B
 In other words, X = Xr*R + Xg*G + Xb*B, and similarly for Y and Z.
 You can go the other way too:
 R X
 G = im Y
 B Z
 where im is the inverse of the matrix m.
 What is a gamut?
 The gamut of a device is the subset of visible colors which that
 device can display. (It has nothing to do with gamma.) The gamut
 of an RGB device can be visualized as a polyhedron in XYZ space;
 the vertices correspond to the device's black, blue, red, green,
 magenta, cyan, yellow and white.
 Different devices have different gamuts, in other words one device
 will be able to display certain colors (usually highly saturated
 ones) that another device cannot. The gamut of a particular RGB
 device can be determined from its R, G, and B chromaticities and
 white point (the same values given in the cHRM chunk). The gamut
 of a color printer is more complex and can only be determined by
 measurement. However, printer gamuts are typically smaller than
 monitor gamuts, meaning that there can be many colors in a
 displayable image that cannot physically be printed.
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RFC 2083 PNG: Portable Network Graphics March 1997
 Converting image data from one device to another generally results
 in gamut mismatches --- colors that cannot be represented exactly
 on the destination device. The process of making the colors fit,
 which can range from a simple clip to elaborate nonlinear scaling
 transformations, is termed gamut mapping. The aim is to produce a
 reasonable visual representation of the original image.
 Further reading
 References [COLOR-1] through [COLOR-5] provide more detail about
 color theory.
15. Appendix: Sample CRC Code
 The following sample code represents a practical implementation of
 the CRC (Cyclic Redundancy Check) employed in PNG chunks. (See also
 ISO 3309 [ISO-3309] or ITU-T V.42 [ITU-V42] for a formal
 specification.)
 The sample code is in the ANSI C programming language. Non C users
 may find it easier to read with these hints:
 &
 Bitwise AND operator.
 ^
 Bitwise exclusive-OR operator. (Caution: elsewhere in this
 document, ^ represents exponentiation.)
 >>
 Bitwise right shift operator. When applied to an unsigned
 quantity, as here, right shift inserts zeroes at the left.
 !
 Logical NOT operator.
 ++
 "n++" increments the variable n.
 0xNNN
 0x introduces a hexadecimal (base 16) constant. Suffix L
 indicates a long value (at least 32 bits).
 /* Table of CRCs of all 8-bit messages. */
 unsigned long crc_table[256];
 /* Flag: has the table been computed? Initially false. */
 int crc_table_computed = 0;
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RFC 2083 PNG: Portable Network Graphics March 1997
 /* Make the table for a fast CRC. */
 void make_crc_table(void)
 {
 unsigned long c;
 int n, k;
 for (n = 0; n < 256; n++) {
 c = (unsigned long) n;
 for (k = 0; k < 8; k++) {
 if (c & 1)
 c = 0xedb88320L ^ (c >> 1);
 else
 c = c >> 1;
 }
 crc_table[n] = c;
 }
 crc_table_computed = 1;
 }
 /* Update a running CRC with the bytes buf[0..len-1]--the CRC
 should be initialized to all 1's, and the transmitted value
 is the 1's complement of the final running CRC (see the
 crc() routine below)). */
 unsigned long update_crc(unsigned long crc, unsigned char *buf,
 int len)
 {
 unsigned long c = crc;
 int n;
 if (!crc_table_computed)
 make_crc_table();
 for (n = 0; n < len; n++) {
 c = crc_table[(c ^ buf[n]) & 0xff] ^ (c >> 8);
 }
 return c;
 }
 /* Return the CRC of the bytes buf[0..len-1]. */
 unsigned long crc(unsigned char *buf, int len)
 {
 return update_crc(0xffffffffL, buf, len) ^ 0xffffffffL;
 }
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RFC 2083 PNG: Portable Network Graphics March 1997
16. Appendix: Online Resources
 (This appendix is not part of the formal PNG specification.)
 This appendix gives the locations of some Internet resources for PNG
 software developers. By the nature of the Internet, the list is
 incomplete and subject to change.
 Archive sites
 The latest released versions of this document and related
 information can always be found at the PNG FTP archive site,
 ftp://ftp.uu.net/graphics/png/. The PNG specification is
 available in several formats, including HTML, plain text, and
 PostScript.
 Reference implementation and test images
 A reference implementation in portable C is available from the PNG
 FTP archive site, ftp://ftp.uu.net/graphics/png/src/. The
 reference implementation is freely usable in all applications,
 including commercial applications.
 Test images are available from
 ftp://ftp.uu.net/graphics/png/images/.
 Electronic mail
 The maintainers of the PNG specification can be contacted by e-
 mail at png-info@uunet.uu.net or at png-group@w3.org.
 PNG home page
 There is a World Wide Web home page for PNG at
 http://quest.jpl.nasa.gov/PNG/. This page is a central location
 for current information about PNG and PNG-related tools.
17. Appendix: Revision History
 (This appendix is not part of the formal PNG specification.)
 The PNG format has been frozen since the Ninth Draft of March 7,
 1995, and all future changes are intended to be backwards compatible.
 The revisions since the Ninth Draft are simply clarifications,
 improvements in presentation, and additions of supporting material.
 On 1 October 1996, the PNG specification was approved as a W3C (World
 Wide Web Consortium) Recommendation.
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RFC 2083 PNG: Portable Network Graphics March 1997
 Changes since the Tenth Draft of 5 May, 1995
 * Clarified meaning of a suggested-palette PLTE chunk in a
 truecolor image that uses transparency
 * Clarified exact semantics of sBIT and allowed sample depth
 scaling procedures
 * Clarified status of spaces in tEXt chunk keywords
 * Distinguished private and public extension values in type
 and method fields
 * Added a "Creation Time" tEXt keyword
 * Macintosh representation of PNG specified
 * Added discussion of security issues
 * Added more extensive discussion of gamma and chromaticity
 handling, including tutorial appendixes
 * Clarified terminology, notably sample depth vs. bit depth
 * Added a glossary
 * Editing and reformatting
18. References
 [COLOR-1]
 Hall, Roy, Illumination and Color in Computer Generated Imagery.
 Springer-Verlag, New York, 1989. ISBN 0-387-96774-5.
 [COLOR-2]
 Kasson, J., and W. Plouffe, "An Analysis of Selected Computer
 Interchange Color Spaces", ACM Transactions on Graphics, vol 11 no
 4 (1992), pp 373-405.
 [COLOR-3]
 Lilley, C., F. Lin, W.T. Hewitt, and T.L.J. Howard, Colour in
 Computer Graphics. CVCP, Sheffield, 1993. ISBN 1-85889-022-5.
 Also available from
 <URL:http://info.mcc.ac.uk/CGU/ITTI/Col/colour_announce.html>
 [COLOR-4]
 Stone, M.C., W.B. Cowan, and J.C. Beatty, "Color gamut mapping and
 the printing of digital images", ACM Transactions on Graphics, vol
 7 no 3 (1988), pp 249-292.
 [COLOR-5]
 Travis, David, Effective Color Displays --- Theory and Practice.
 Academic Press, London, 1991. ISBN 0-12-697690-2.
 [GAMMA-FAQ]
 Poynton, C., "Gamma FAQ".
 <URL:http://www.inforamp.net/%7Epoynton/Poynton-colour.html>
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RFC 2083 PNG: Portable Network Graphics March 1997
 [ISO-3309]
 International Organization for Standardization, "Information
 Processing Systems --- Data Communication High-Level Data Link
 Control Procedure --- Frame Structure", IS 3309, October 1984, 3rd
 Edition.
 [ISO-8859]
 International Organization for Standardization, "Information
 Processing --- 8-bit Single-Byte Coded Graphic Character Sets ---
 Part 1: Latin Alphabet No. 1", IS 8859-1, 1987.
 Also see sample files at
 ftp://ftp.uu.net/graphics/png/documents/iso_8859-1.*
 [ITU-BT709]
 International Telecommunications Union, "Basic Parameter Values
 for the HDTV Standard for the Studio and for International
 Programme Exchange", ITU-R Recommendation BT.709 (formerly CCIR
 Rec. 709), 1990.
 [ITU-V42]
 International Telecommunications Union, "Error-correcting
 Procedures for DCEs Using Asynchronous-to-Synchronous Conversion",
 ITU-T Recommendation V.42, 1994, Rev. 1.
 [PAETH]
 Paeth, A.W., "Image File Compression Made Easy", in Graphics Gems
 II, James Arvo, editor. Academic Press, San Diego, 1991. ISBN
 0-12-064480-0.
 [POSTSCRIPT]
 Adobe Systems Incorporated, PostScript Language Reference Manual,
 2nd edition. Addison-Wesley, Reading, 1990. ISBN 0-201-18127-4.
 [PNG-EXTENSIONS]
 PNG Group, "PNG Special-Purpose Public Chunks". Available in
 several formats from
 ftp://ftp.uu.net/graphics/png/documents/pngextensions.*
 [RFC-1123]
 Braden, R., Editor, "Requirements for Internet Hosts ---
 Application and Support", STD 3, RFC 1123, USC/Information
 Sciences Institute, October 1989.
 <URL:ftp://ds.internic.net/rfc/rfc1123.txt>
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RFC 2083 PNG: Portable Network Graphics March 1997
 [RFC-2045]
 Freed, N., and N. Borenstein, "Multipurpose Internet Mail
 Extensions (MIME) Part One: Format of Internet Message Bodies",
 RFC 2045, Innosoft, First Virtual, November 1996.
 <URL:ftp://ds.internic.net/rfc/rfc2045.txt>
 [RFC-2048]
 Freed, N., Klensin, J., and J. Postel, "Multipurpose Internet Mail
 Extensions (MIME) Part Four: Registration Procedures", RFC 2048,
 Innosoft, MCI, USC/Information Sciences Institute, November 1996.
 <URL:ftp://ds.internic.net/rfc/rfc2048.txt>
 [RFC-1950]
 Deutsch, P. and J-L. Gailly, "ZLIB Compressed Data Format
 Specification version 3.3", RFC 1950, Aladdin Enterprises, May
 1996.
 <URL:ftp://ds.internic.net/rfc/rfc1950.txt>
 [RFC-1951]
 Deutsch, P., "DEFLATE Compressed Data Format Specification version
 1.3", RFC 1951, Aladdin Enterprises, May 1996.
 <URL:ftp://ds.internic.net/rfc/rfc1951.txt>
 [SMPTE-170M]
 Society of Motion Picture and Television Engineers, "Television
 --- Composite Analog Video Signal --- NTSC for Studio
 Applications", SMPTE-170M, 1994.
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RFC 2083 PNG: Portable Network Graphics March 1997
19. Credits
 Editor
 Thomas Boutell, boutell@boutell.com
 Contributing Editor
 Tom Lane, tgl@sss.pgh.pa.us
 Authors
 Authors' names are presented in alphabetical order.
 * Mark Adler, madler@alumni.caltech.edu
 * Thomas Boutell, boutell@boutell.com
 * Christian Brunschen, cb@df.lth.se
 * Adam M. Costello, amc@cs.berkeley.edu
 * Lee Daniel Crocker, lee@piclab.com
 * Andreas Dilger, adilger@enel.ucalgary.ca
 * Oliver Fromme, fromme@rz.tu-clausthal.de
 * Jean-loup Gailly, gzip@prep.ai.mit.edu
 * Chris Herborth, chrish@qnx.com
 * Alex Jakulin, Aleks.Jakulin@snet.fri.uni-lj.si
 * Neal Kettler, kettler@cs.colostate.edu
 * Tom Lane, tgl@sss.pgh.pa.us
 * Alexander Lehmann, alex@hal.rhein-main.de
 * Chris Lilley, chris@w3.org
 * Dave Martindale, davem@cs.ubc.ca
 * Owen Mortensen, 104707.650@compuserve.com
 * Keith S. Pickens, ksp@swri.edu
 * Robert P. Poole, lionboy@primenet.com
 * Glenn Randers-Pehrson, glennrp@arl.mil or
 randeg@alumni.rpi.edu
 * Greg Roelofs, newt@pobox.com
 * Willem van Schaik, willem@gintic.gov.sg
 * Guy Schalnat
 * Paul Schmidt, pschmidt@photodex.com
 * Tim Wegner, 71320.675@compuserve.com
 * Jeremy Wohl, jeremyw@anders.com
 The authors wish to acknowledge the contributions of the Portable
 Network Graphics mailing list, the readers of comp.graphics, and
 the members of the World Wide Web Consortium (W3C).
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RFC 2083 PNG: Portable Network Graphics March 1997
 The Adam7 interlacing scheme is not patented and it is not the
 intention of the originator of that scheme to patent it. The
 scheme may be freely used by all PNG implementations. The name
 "Adam7" may be freely used to describe interlace method 1 of the
 PNG specification.
 Trademarks
 GIF is a service mark of CompuServe Incorporated. IBM PC is a
 trademark of International Business Machines Corporation.
 Macintosh is a trademark of Apple Computer, Inc. Microsoft and
 MS-DOS are trademarks of Microsoft Corporation. PhotoCD is a
 trademark of Eastman Kodak Company. PostScript and TIFF are
 trademarks of Adobe Systems Incorporated. SGI is a trademark of
 Silicon Graphics, Inc. X Window System is a trademark of the
 Massachusetts Institute of Technology.
COPYRIGHT NOTICE
 Copyright (c) 1996 by: Massachusetts Institute of Technology (MIT)
 This W3C specification is being provided by the copyright holders
 under the following license. By obtaining, using and/or copying this
 specification, you agree that you have read, understood, and will
 comply with the following terms and conditions:
 Permission to use, copy, and distribute this specification for any
 purpose and without fee or royalty is hereby granted, provided that
 the full text of this NOTICE appears on ALL copies of the
 specification or portions thereof, including modifications, that you
 make.
 THIS SPECIFICATION IS PROVIDED "AS IS," AND COPYRIGHT HOLDERS MAKE NO
 REPRESENTATIONS OR WARRANTIES, EXPRESS OR IMPLIED. BY WAY OF
 EXAMPLE, BUT NOT LIMITATION, COPYRIGHT HOLDERS MAKE NO
 REPRESENTATIONS OR WARRANTIES OF MERCHANTABILITY OR FITNESS FOR ANY
 PARTICULAR PURPOSE OR THAT THE USE OF THE SPECIFICATION WILL NOT
 INFRINGE ANY THIRD PARTY PATENTS, COPYRIGHTS, TRADEMARKS OR OTHER
 RIGHTS. COPYRIGHT HOLDERS WILL BEAR NO LIABILITY FOR ANY USE OF THIS
 SPECIFICATION.
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RFC 2083 PNG: Portable Network Graphics March 1997
 The name and trademarks of copyright holders may NOT be used in
 advertising or publicity pertaining to the specification without
 specific, written prior permission. Title to copyright in this
 specification and any associated documentation will at all times
 remain with copyright holders.
Security Considerations
 Security issues are discussed in Security considerations (Section
 8.5).
Author's Address
 Thomas Boutell
 PO Box 20837
 Seattle, WA 98102
 Phone: (206) 329-4969
 EMail: boutell@boutell.com
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