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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


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Last updated: 10-March-2011

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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