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.
-
MSU Benchmark Collection
- Video Colorization Benchmark
- Super-Resolution for Video Compression Benchmark
- Defenses for Image Quality Metrics Benchmark
- Learning-Based Image Compression Benchmark
- Super-Resolution Quality Metrics Benchmark
- Video Saliency Prediction Benchmark
- Metrics Robustness Benchmark
- Video Upscalers Benchmark
- Video Deblurring Benchmark
- Video Frame Interpolation Benchmark
- HDR Video Reconstruction Benchmark
- No-Reference Video Quality Metrics Benchmark
- Full-Reference Video Quality Metrics Benchmark
- Video Alignment and Retrieval Benchmark
- Mobile Video Codecs Benchmark
- Video Super-Resolution Benchmark
- Shot Boundary Detection Benchmark
- The VideoMatting Project
- Video Completion
- Codecs Comparisons & Optimization
- VQMT
- MSU Datasets Collection
- Metrics Research
- Video Quality Measurement Tool 3D
- Video Filters
- Other Projects