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Video Quality Measurement Tool (MSU VQMT)

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RUSSIAN VERSION

MSU Super-Resolution Filter

Filter for high-quality video resolution enhancement

MSU Graphics & Media Lab (Video Group)

Take a look at this article on the new site! Follow the link
https://videoprocessing.ai/video_filters/video-super-resolution.html

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:

Stefan Bicubic
AviSynth Bicubic Stefan Lanczos4
AviSynth Lancsoz4
Stefan Bicubic
Topaz Enhance SR Stefan Lanczos4
MSU Super-Resolution


The next example is from "news" sequence:

news
"news", source video and video processed with MSU Super-Resolution filter
(video is here, 974 KB)


Fragment of the "toy" sequence:

news
"toy", source video and video processed with MSU Super-Resolution filter
(video is here, 660 KB)

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 Codecs comparisons
Objective and subjective quality evaluation
tests for video and image codecs
Ext. link: x264 parameters efficiency 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. Filters for companies
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.
Video codecs projects
Different research and development
projects on video codecs Other
Other information
Last updated: 28-May-2025
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

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