MSU Video Super-Resolution Filter
Filter for high-quality video resolution enhancement
- Method ideas: Dr. Dmitriy Vatolin
- Implementation: Artem Titarenko
This filter increases resolution of video sequence while saving and improving details and reducing artifacts.
Main problems of the current approach:
- Fixed zooming factor (two times). Later it will be generalized.
- No scene change detection.
Characteristics
- Processing speed is considerably higher than for other SuperResolution approaches known to us
- Upscaling factor should be a power of 2. Other scaling factors are also possible, but they result in a relatively lesser quality of video due to use of additional common resampling algorithm
- Different presets with various speed/quality trade-off
- Processing is fully automatic
- Processing can be totally consecutive without look ahead at future frames
- There is a special algorithm for noisy video upscaling which gives smoother images of better visual quality
Examples
Since the output resolution of video is very large only parts of sequences are shown.
The first example is from “stefan” sequence:
AviSynth Bicubic |
AviSynth Lancsoz4 |
Topaz Enhance SR |
MSU Super-Resolution |
The next example is from “news” sequence:
“news”, source video and video processed with MSU Super-Resolution filter
(video is here, 974 KB)
Fragment of the “toy” sequence:
“toy”, source video and video processed with MSU Super-Resolution filter
(video is here, 660 KB)
Contacts
E-mail: video@graphics.cs.msu.ru
Please read MSU filters FAQ before mailing.
See Also
Super-Resolution for Video Compression Benchmark
Learn about the best SR methods for compressed videos and choose the best model to use with your codec
MSU Video Group / Video data filtering and compession
VirtualDub MSU Logo Remover
The filter is intended to remove logo from films
MSU Stereo To Multiview 3D Video Conversion ( Glasses-free 3D-Displays Video Content creation)
Stereo to multiview video conversion algorithm for glasses-free autostereoscopic 3D displays
MSU Video Group / Video data filtering and compession
MSU Videogroup Filters. Frequently Asked Questions.
Frequently Asked Questions
Site structure
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MSU Benchmark Collection
- Super-Resolution for Video Compression Benchmark
- Video Colorization 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