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MSU Super-Precision Filter

Filter for colour-depth enhancing

MSU Graphics & Media Lab (Video Group)

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)
Source frame (5 bits per channel)
Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter (8 bits per channel)
Histogram of source frame
Histogram of source frame
Histogram of processed frame
Histogram of processed frame

Video is here (872 KB).


The next example is from "toy" sequence:

Source frame (5 bits per channel)
Source frame
(5 bits per channel)
Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Histogram of source frame
Histogram of source frame
Histogram of processed frame
Histogram of processed frame

Source frame (5 bits per channel)
Source frame
(5 bits per channel)
Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Histogram of source frame
Histogram of source frame
Histogram of processed frame
Histogram of processed frame

Video is here (742 KB).


The next example is from "mobile" sequence:

Source frame (5 bits per channel)
Source frame
(5 bits per channel)
Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Histogram of source frame
Histogram of source frame
Histogram of processed frame
Histogram of processed frame

Source frame (5 bits per channel)
Source frame
(5 bits per channel)
Processed frame (8 bits per channel)
Processed with MSU Super-Precision filter
(8 bits per channel)
Histogram of source frame
Histogram of source frame
Histogram of processed frame
Histogram of processed frame

E-mail: 
Please read MSU filters FAQ before mailing.


Other resources


Video resources:

Call for MPEG4-AVC/H.264 codecs 2012

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.
MSU/YUVsoft 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.
Codecs comparisons
Objective and subjective quality evaluation
tests for video and image codecs
Call for MPEG4-AVC/H.264 codecs 2012
Ext. link: x264 parameters efficiency comparison
MSU Video Quality Measurement tools
Programs with different objective and subjective video quality metrics implementation
Video codecs projects
Different research and development
projects on video codecs
Other
Other information

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Last updated: 10-March-2011

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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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