Video filtering and compression
by MSU Video Group
- Group Leader: Dr. Dmitriy Vatolin
Miscellaneous
- “MSU Frame rate conversion” - filter of 2 times frame rate up
conversion with maximum
quality
Dedicated to 100 hertz TV. - Description of MSU Denoising (free) & MSU Noise Removal
filters.
In this report we show how MSU Noise Removal usage can increase compression up to 30% with better (!) visual quality. - Description of MSU Slow&Fast demosaicing
filters.
In this paper results of two novel MSU Bayer pattern reconstruction filters are discussed and compared with well known methods. -
Crazy gallery
Crazy errors during filters and codecs writing.License
See Also
Video Colorization Benchmark
Explore the best video colorization algorithms
Shot-by-Shot Movie Version Comparison
Some movies are released in two or more versions. We propose an algorithm for fully automatic construction of an editing map of two movie versions.
Advanced Frame Rate Converter (AFRC)
FRC algorithm increases the total number of frames in the video sequence
MSU Frame Rate Conversion Method
Algorithm to double video fps
Site structure
-
MSU Benchmark Collection
- Video Colorization Benchmark
- Defenses for Image Quality Metrics Benchmark
- Learning-Based Image Compression Benchmark
- Super-Resolution Quality Metrics Benchmark
- Video Saliency Prediction Benchmark
- Super-Resolution for Video Compression 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