Take a look at this article on the new site! Follow the link
https://videoprocessing.ai/video_filters/bit-depth-expansion.html
Method ideas: Dr. Dmitriy Vatolin
Implementation: Artem Titarenko
Filter is intended for increasing the colour depth of video (bits per pixel) while preserving details and borders.
Main problem of this method is slow processing speed. But it can be applied with MSU Super-Resolution filter - in this case temporary results of the latter filter will be used by the former, and they will work together slightly slower than each taken separately.
Examples
Filter is applied for colour depth increasing from 5 to 8 bits per channel. All examples are presented as extracted video frames and video sequences. Video codec DivX 4.12 in Quality-based mode was used for compression.
The first example is from "amelie" sequence:
Source frame (5 bits per channel)
Source frame (5 bits per channel)
Source frame (5 bits per channel)
Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter (8 bits per channel)
Processed with MSU Super-Precision filter (8 bits per channel)
Histogram of source frame
Histogram of source frame Histogram of processed frame
Histogram of processed frame
Histogram of source frame Histogram of processed frame
Histogram of processed frame
Video is here (872 KB).
The next example is from "toy" sequence:
Source frame (5 bits per channel)
Source frame
(5 bits per channel) Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Source frame
(5 bits per channel) Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Histogram of source frame
Histogram of source frame Histogram of processed frame
Histogram of processed frame
Histogram of source frame Histogram of processed frame
Histogram of processed frame
Source frame (5 bits per channel)
Source frame
(5 bits per channel) Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Source frame
(5 bits per channel) Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Histogram of source frame
Histogram of source frame Histogram of processed frame
Histogram of processed frame
Histogram of source frame Histogram of processed frame
Histogram of processed frame
Video is here (742 KB).
The next example is from "mobile" sequence:
Source frame (5 bits per channel)
Source frame
(5 bits per channel) Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Source frame
(5 bits per channel) Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Histogram of source frame
Histogram of source frame Histogram of processed frame
Histogram of processed frame
Histogram of source frame Histogram of processed frame
Histogram of processed frame
Source frame (5 bits per channel)
Source frame
(5 bits per channel) Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Source frame
(5 bits per channel) Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Histogram of source frame
Histogram of source frame Histogram of processed frame
Histogram of processed frame
Histogram of source frame Histogram of processed frame
Histogram of processed frame
E-mail:
Please read MSU filters FAQ
before mailing.
Other resources
Video resources:
3D and stereo video
Projects on 3D and stereo video processing and analysis
MSU Video Quality Measurement tools
Programs with different objective and subjective video quality metrics implementation
Objective and subjective quality evaluation
tests for video and image codecs
5-th MPEG4-AVC/H.264 Comparison
Codec Analysis for Companies:
Options Analysis of Codec x264
4-th MPEG4-AVC/H.264 Comparison
Lossless Video Codecs Comparison 2007
3-rd MPEG4-AVC/H.264 Comparison
HD Photo and JPEG 2000 Comparison
MPEG-2 Decoders Crash Test
Subjective Compar. of 4 Modern Codecs
2-nd MPEG-4 AVC/H.264 Comparison
1-st MPEG-4 AVC/H.264 Codecs Comparison
JPEG 2000 Image Codecs Comparison
Lossless Video Codecs Comparison 2004
MPEG-4 SP/ASP Codecs Comparison
Video codecs comparison (old)
Ext. link:
x264 parameters efficiency comparison
Projects on 3D and stereo video processing and analysis
- MSU S3D-video analysis reports
- MSU 3D Devices Testing
- 3D Displays Video Generation
- 3D Displays Video Capturing
- Stereo Video Depth Map Generation
- SAVAM Saliensy-Aware Video Compression & Dataset
- Video Matting Benchmark
- Video Inpainting Benchmark
MSU Video Quality Measurement tools
Programs with different objective and subjective video quality metrics implementation
- MSU Video Quality Measurement Tool - objective metrics for codecs and filters comparison
- MSU Human Perceptual Quality Metric - several metrics for exact visual tests
Objective and subjective quality evaluation
tests for video and image codecs
- MSU Video Codecs Comparison 2025
- MSU Video Codecs Comparison 2023-2024
- MSU Video Codecs Comparison 2022
- MSU Video Codecs Comparison 2021
- MSU Video Codecs Comparison 2020
- MSU Cloud Benchmark 2020
- Cloud Encoding Services Comparison 2019
- HEVC/AV1 Codec Comparison 2019
- HEVC/AV1 Codec Comparison 2018
- HEVC/AV1 Codec Comparison 2017
- HEVC Codec Comparison 2016
- HEVC Codec Comparison 2015
- 9-th MPEG4-AVC/H.264 Comparison
- 8-th MPEG4-AVC/H.264 Comparison
- 7-th MPEG4-AVC/H.264 Comparison
- 6-th MPEG4-AVC/H.264 Comparison
Public MSU video filters
Here are available VirtualDub and AviSynth filters. For a given type of digital video filtration we typically develop a family of different algorithms and implementations. Generally there are also versions optimized for PC and hardware implementations (ASIC/FPGA/DSP). These optimized versions can be licensed to companies. Please contact us for details via video(at)graphics.cs.msu_ru.
We are working with Intel, Samsung, RealNetworks and other companies on adapting our filters other video processing algorithms for specific video streams, applications and hardware like TV-sets, graphics cards, etc. Some of such projects are non-exclusive. Also we have internal researches. Please let us know via video(at)graphics.cs.msu_ru if you are interested in acquiring a license for such filters or making a custom R&D project on video processing, compression, computer vision.
Here are available VirtualDub and AviSynth filters. For a given type of digital video filtration we typically develop a family of different algorithms and implementations. Generally there are also versions optimized for PC and hardware implementations (ASIC/FPGA/DSP). These optimized versions can be licensed to companies. Please contact us for details via video(at)graphics.cs.msu_ru.
- MSU Cartoon Restore
- MSU Noise Estimation
- MSU Frame Rate Conversion
- MSU Image Restoration
- MSU Denoising
- MSU Old Cinema
- MSU Deblocking
- MSU Smart Brightness and Contrast
- MSU Smart Sharpen
- MSU Noise generation
- MSU Noise estimation
- MSU Motion Estimation Information
- MSU Subtitles removal
- MSU Logo removal
- MSU Deflicker
- MSU Field Shift Fixer AviSynth plug-in
- MSU StegoVideo
- MSU Cartoonizer
- MSU SmartDeblocking
- MSU Color Enhancement
- MSU Old Color Restoration
- MSU TV Commercial Detector
- MSU filters FAQ
- MSU filters statistics
We are working with Intel, Samsung, RealNetworks and other companies on adapting our filters other video processing algorithms for specific video streams, applications and hardware like TV-sets, graphics cards, etc. Some of such projects are non-exclusive. Also we have internal researches. Please let us know via video(at)graphics.cs.msu_ru if you are interested in acquiring a license for such filters or making a custom R&D project on video processing, compression, computer vision.
- 3D Displays Video Generation
- 3D Displays Video Capturing
- Stereo Video Depth Map Generation
- Automatic Objects Segmentation
- Semiautomatic Objects Segmentation
- New Frame Rate Conversion
- New Deinterlacer
- MSU-Samsung Deinterlacing Project
- Digital TV Signal Enhancement
- Old Film Recovery
- Tuner TV Restore
- Panorama
- Video2Photo
- SuperResolution
- SuperPrecision
- MSU-Samsung image and video resampling
- MSU-Samsung Frame Rate Conversion
- Motion Phase filter
- Deshaker (video stabilization)
- Film Grain/Degrain filter
- Deblurring filter
- Video Content Search
Video codecs projects
Different research and development
projects on video codecs
Other information
Last updated:
28-May-2025
Different research and development
projects on video codecs
- MSU Lossless Video Codec (Top!)
- MSU Screen Capture Lossless Codec (Top!)
- MSU MPEG-2 Video Codec
- x264 Codec Improvement
Other information
- Crazy gallery (filters screams :)
- License for commercial usage of MSU VideoGroup Public Software (please be careful: some soft like metrics has another license!)
Server size: 8069 files, 1215Mb (Server statistics)
Project updated by
Server Team and
MSU Video Group
Project sponsored by YUVsoft Corp.
Project supported by MSU Graphics & Media Lab