ImageAdd [image,x]
adds an amount x to each channel value in image.
ImageAdd [image1,image2]
gives an image in which each pixel is the sum of the corresponding pixels in image1 and image2.
ImageAdd [image,expr1,expr2,…]
adds all expri to image, where each expri can be either an image, a number, or a color value.
ImageAdd
ImageAdd [image,x]
adds an amount x to each channel value in image.
ImageAdd [image1,image2]
gives an image in which each pixel is the sum of the corresponding pixels in image1 and image2.
ImageAdd [image,expr1,expr2,…]
adds all expri to image, where each expri can be either an image, a number, or a color value.
Details
- The image returned by ImageAdd [image,…] has the same dimensions as image.
- In ImageAdd [image,x], x can be a number normally in the range 0 to 1, a color, or a list of color channel values.
- ImageAdd [image,x] typically gives an image with the same underlying data type as image, clipping or truncating values if necessary.
- If the image dimensions are different, ImageAdd [image1,image2] adds image2 at the center of image1.
- If image1 or image2 is a single-channel image, its values are added to the values in each channel of the other image in ImageAdd [image1,image2].
- If image1 and image2 are both multichannel images, the values in each channel are added separately.
- ImageAdd [image1,image2] gives an image with the largest type of either image1 or image2, clipping or truncating values if necessary.
- For binary images, ImageAdd effectively finds the logical OR of pixel values.
- ImageAdd [image,expr1,expr2,…] folds ImageAdd on the list of arguments.
- ImageAdd [{image,expr1,expr2,…}] is equivalent to ImageAdd [image,expr1,expr2,…].
- ImageAdd works with Image3D objects.
Examples
open all close allBasic Examples (3)
Brighten a color image by adding a constant amount to all channels:
Add two color images:
Logical OR of two binary images:
Scope (3)
Mask an image by adding a thresholded version of it:
Add multiple images to each other:
Add a noise image to a 3D image:
Applications (3)
Uniform additive noise:
Create a sepia image:
Convert a color image to a sepia image:
Multiply by a Gaussian frame to create a vignette effect:
Possible Issues (3)
Numerical rounding in finite-precision images can be affected by the limited precision of machine arithmetic:
When adding images of different color spaces, channel values are added respectively:
The resulting image will have an Automatic color space:
When adding images of integer types, pixel value clipping is happening:
Adjusting cannot restore the clipped values:
Use a real image type to avoid clipping:
Tech Notes
Related Guides
Related Workflows
- Extract a Region from an Image
History
Introduced in 2008 (7.0) | Updated in 2012 (9.0) ▪ 2014 (10.0)
Text
Wolfram Research (2008), ImageAdd, Wolfram Language function, https://reference.wolfram.com/language/ref/ImageAdd.html (updated 2014).
CMS
Wolfram Language. 2008. "ImageAdd." Wolfram Language & System Documentation Center. Wolfram Research. Last Modified 2014. https://reference.wolfram.com/language/ref/ImageAdd.html.
APA
Wolfram Language. (2008). ImageAdd. Wolfram Language & System Documentation Center. Retrieved from https://reference.wolfram.com/language/ref/ImageAdd.html
BibTeX
@misc{reference.wolfram_2025_imageadd, author="Wolfram Research", title="{ImageAdd}", year="2014", howpublished="\url{https://reference.wolfram.com/language/ref/ImageAdd.html}", note=[Accessed: 17-November-2025]}
BibLaTeX
@online{reference.wolfram_2025_imageadd, organization={Wolfram Research}, title={ImageAdd}, year={2014}, url={https://reference.wolfram.com/language/ref/ImageAdd.html}, note=[Accessed: 17-November-2025]}