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RUSSIAN

MSU-Samsung Deinterlacing Project

MSU Graphics & Media Lab (Video Group)

Method ideas, project: Dr. Dmitriy Vatolin
Implementation, ideas: Denis Kubasov, Sergey Putilin,
Maxim Makhinya

New Deinterlacing project: MSU Deinterlacer

The filter is designed to suppress comb effect, also known as interlacing, in motion pictures. As opposed to other available filters, MSU Deinterlacing uses a balanced combination of 8 filters to ensure better picture quality.

 

Examples

We shall compare MSU Deinterlacing Filter to Smart Deinterlace (one of the best available filters written by Donald Graft) using 3 test sequences.

The first example is frame No. 9 from sequence 'Helicopter'.

A frame from the sequence
A frame from the sequence
A fragment of the frame
A fragment of the frame
The fragment processed by MSU Deinterlacing
The fragment processed by MSU Deinterlacing
The fragment processed by Smart Deinterlace
The fragment processed by Smart Deinterlace

It's easy to see that image feature outlined in red looks much better on the left picture. Smart Deinterlace made it blocky, while MSU Deinterlacing did better job at image reconstruction.

The next example:

 A frame from the sequence
A frame from the sequence
The frame processed by MSU Deinterlacing
The frame processed by MSU Deinterlacing
The frame processed by Smart Deinterlace
The frame processed by Smart Deinterlace

Consider fragment of the frame:

 The fragment processed by MSU Deinterlacing
The fragment processed by MSU Deinterlacing
 The fragment processed by Smart Deinterlace
The fragment processed by Smart Deinterlace

The next example is fragment of frame No. 92 from Schumacher sequence.

A fragment of the frame
A fragment of the frame
The fragment processed by MSU Deinterlacing
The fragment processed by MSU Deinterlacing
The fragment processed by Smart Deinterlace
The fragment processed by Smart Deinterlace

Frames from sequences tennis & mobl:
AlparySoft, Decomb and MSU SMC deinterlacer.

AlparySoft, Decomb, MSU

AlparySoft, Decomb, MSU

 

Download

This filter was developed from October 2002 to May 2003 by group and from May 2003 in collaboration with SAIT (Samsung Advanced Institute of Technology) so currently filter is unavailable due to contract limitations.

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

New Deinterlacing project: MSU Deinterlacer

 

Other resources

Video resources:

Public MSU video filters
Here are available VirtualDub and AviSynth filters. Commonly we develop a whole family of some kind of a filter. 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 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
Ext. link: x264 parameters efficiency comparison
Video quality metrics
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: 07-December-2007

Search (Russian):
Server size: 7489 files, 921Mb (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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  © A.Andreev, pictures, 2002

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