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

Consider fragment of the frame:

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

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

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.

• Deinterlacing filters comparison on tennis (DivX 4, 1.4Mb)
• Deinterlacing filters comparison on mobl (DivX 4, 1.8Mb)

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 Cartoon Restore (New!) MSU Noise Estimation MSU Frame Rate Conversion MSU Image Restoration MSU Denoising (Top!) (New!) MSU Old Cinema MSU Deblocking (Top!) MSU Smart Brightness and Contrast (Top!) MSU Smart Sharpen (Top!) MSU Noise generation MSU Noise estimation MSU Motion Estimation Information MSU Subtitles removal MSU Logo removal (Top!) MSU Deflicker (Top!) MSU Field Shift Fixer AviSynth plug-in MSU StegoVideo MSU Cartoonizer (Top!) MSU SmartDeblocking (Top!) MSU Color Enhancement MSU Old Color Restoration MSU filters FAQ (Read me!) MSU filters statistics	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. Automatic Objects Segmentation Semiautomatic Objects Segmentation New Frame Rate Conversion New Deinterlacer MSU-Samsung Deinterlacing Project Digital TV Signal Enhancement Old Film Recovery Tuner TV Restore Panorama Video2Photo SuperResolution SuperPrecision MSU-Samsung image and video resampling MSU-Samsung Frame Rate Conversion Motion Phase filter Deshaker (video stabilization) Film Grain/Degrain filter Deblurring filter Video Content Search
Codecs comparisons Objective and subjective quality evaluation tests for video and image codecs Options Analysis of Codec x264 (New!) 4-th MPEG4-AVC/H.264 Comparison (Top!) Lossless Video Codecs Comparison 2007 3-rd MPEG4-AVC/H.264 Comparison HD Photo and JPEG 2000 Comparison MPEG-2 Decoders Crash Test (Top!) Subjective Compar. of 4 Modern Codecs (Top!) 2-nd MPEG-4 AVC/H.264 Comparison (Top!) FAQ of 2-nd H.264 Comparison 1-st MPEG-4 AVC/H.264 Codecs Comparison FAQ of 1-st H.264 Comparison JPEG 2000 Image Codecs Comparison (Top!) Lossless Video Codecs Comparison 2004 MPEG-4 SP/ASP Codecs Comparison (Top!) Video codecs comparison (old) Ext. link: x264 parameters efficiency comparison	Video quality metrics Programs with different objective and subjective video quality metrics implementation MSU Video Quality Metric - objective metrics for codecs and filters comparison (Top!) Implemented metrics short info: PSNR, Delta, MSAD, MSE, SSIM, VQM, MSU Blurring, MSU Blocking MSU Brightness Flicking Metric MSU Brightness Independent PSNR MSU Drop Frame Metric MSU Noise Estimation Metric MSU VQM Metric Tool FAQ MSU Human Perceptual Quality Metric - several metrics for exact visual tests (Top!) Implemented metrics short info: ITU-R BT.500-11: DSIS, DSCQS I & II, SCACJ; EBU: SAMVIQ; MSUCQE MSU PVQ Metric Tool FAQ
Video codecs projects Different research and development projects on video codecs MSU Lossless Video Codec (Top!) MSU Screen Capture Lossless Codec (Top!) MSU MPEG-2 Video Codec x264 Codec Improvement	Other Other information Crazy gallery (filters screams :) License for commercial usage of MSU VideoGroup Public Software (please be careful: some soft like metrics has another license!)

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Last updated: 07-December-2007

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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