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Algorithm, ideas: Dr. Dmitriy Vatolin, Dmitriy Kulikov
Implementation: Sergey Putilin, Ilya Tsvetkov

Version 2.5 released

The filter is designed for noisy video stream processing, video quality improvement, or video preprocessing (e.g. for preprocessing before compression or deinterlacing). The filter implementation is able to use GPU processing power to increase the processing speed.

DOWNLOAD	PURCHASE
Free version for non-commercial home usage only	License for commercial or professional usage

Change log

Version 2.5

• New algorithm for high definition video (HDTV) processing added
• Automatic noise estimation
• Shot detection to reduce artifacts during temporal denoising
• Cg libraries are not used any more

• First version with support for fast video processing using GPU
• New interface

Settings

By default filter uses automatic noise estimation and is ready for video processing without any manual setup. In this mode user can slightly correct denosing strength to achieve necessary results Automatic noise estimation checkbox controls this mode.

Setting the checkbox you can select GPU or CPU versions of algorithm.

Note that not all graphic-cards are supported. We recommend to use ATI Radeon X700 or higher and nVidia Geforce 6600 or higher. The filter requires OpenGL 2.1 support. We strongly recommend to install the latest video-drivers to use GPU-mode and achieve better performance.

Filter provides two different algorithms for video denoising (selection is made via Algorithms list):

• MSU Denoiser - algorithm used in previous versions of filter


The filter suppresses noise in both spatial and temporal domains. Filter effect is specified for each type of denoising in the dialogue box as shown. Checkboxes help to set required combination of domains, thus enabling spatial-only or temporal-only denoising.

The new feature of 2.5 release is careful scene change processing. The filter detects shots to prevent artifacts of temporal denoising, but can also reduce the performance, especially when high performance GPU is used.

• Bilateral - new algorithm which is implemented in three variants corresponding to different performance/quality ratios. This algorithm is most suitable for HD video denoising because of its quality.

Filter supports Job Control and can be used with AviSynth. Here is an example:

LoadVirtualDubPlugin("..\VirtualDub\plugins\MSUDenoiser25.vdf", "MSUDenoiser", 1)
clip = AviSource("video.avi")
clip.ConvertToRGB32.MSUDenoiser(algorithm, gpuMode, correction, shotDetection)

Parameters:

• algorithm: 0 - MSU Denoiser; 1 - Bilateral, small region (fast); 2 - Bilateral, medium; 3 - Bilateral, big region (best quality);
• gpuMode - if set to 0, CPU is used; GPU otherwise;
• correction - manual correction for automatic mode (50 - no correction);
• shotDetection - careful scene change processing (for MSU Denoiser algorithm only).

Examples

Let's consider filter operation on Susy sequence first. The sequence is quite noisy in spatial and temporal domains.
Let's compare source frame with the frame processed by MSU Denoising Filter:

Source frame with noise

Frame processed by MSU Denoising Filter (made with 'hard' preset that emphasizes filter effect)

Performance comparison

Here is a comparison between two versions of MSU Denoiser: old version without GPU processing and new version with GPU processing

Installation

To use the filter download the archive using the link given below and extract its content into VitualDub plugins directory.

Download

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 Cartoon Restore (New!) MSU Noise Estimation (New!) MSU Frame Rate Conversion (New!) MSU Image Restoration (New!) MSU Denoising (Top!) 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 (New!) Semiautomatic Objects Segmentation New Frame Rate Conversion (New!) New Deinterlacer (New!) 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 4-th MPEG4-AVC/H.264 Comparison (New!) Lossless Video Codecs Comparison 2007 (New!) 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: 14-May-2008

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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