MSU Super-Precision Filter
Filter for colour-depth enhancing
- 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)
Processed with MSU Super-Precision filter (8 bits per channel)
![]() Histogram of source frame |
![]() Histogram of processed frame |
Video is here (872 KB).
The next example is from “toy” sequence:
![]() Source frame (5 bits per channel) |
![]() Processed with MSU Super-Precision filter (8 bits per channel) |
![]() Histogram of source frame |
![]() Histogram of processed frame |
![]() Source frame (5 bits per channel) |
![]() Processed with MSU Super-Precision filter (8 bits per channel) |
![]() Histogram of source frame |
![]() Histogram of processed frame |
Video is here (742 KB).
The next example is from “mobile” sequence:
![]() Source frame (5 bits per channel) |
![]() Processed with MSU Super-Precision filter (8 bits per channel) |
![]() Histogram of source frame |
![]() Histogram of processed frame |
![]() Source frame (5 bits per channel) |
![]() Processed with MSU Super-Precision filter (8 bits per channel) |
![]() Histogram of source frame |
![]() Histogram of processed frame |
Contacts
E-mail: video@graphics.cs.msu.ru
Please read MSU filters FAQ before mailing.
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MSU Benchmark Collection
- MSU Video Upscalers Benchmark 2022
- MSU Video Deblurring Benchmark 2022
- MSU Video Frame Interpolation Benchmark 2022
- MSU HDR Video Reconstruction Benchmark 2022
- MSU Super-Resolution for Video Compression Benchmark 2022
- MSU No-Reference Video Quality Metrics Benchmark 2022
- MSU Full-Reference Video Quality Metrics Benchmark 2022
- MSU Video Alignment and Retrieval Benchmark
- MSU Mobile Video Codecs Benchmark 2021
- MSU Video Super-Resolution Benchmark
- MSU Shot Boundary Detection Benchmark 2020
- MSU Deinterlacer Benchmark
- The VideoMatting Project
- Video Completion
- Codecs Comparisons & Optimization
- VQMT
- MSU Datasets Collection
- Metrics Research
- Video Quality Measurement Tool 3D
- Video Filters
- Other Projects