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Project, idea: Dr. Dmitriy Vatolin, Sergey Grishin
Algorithm, implementation: Kumok Boris
Updating and additions: Sheludko Victor

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This filter is used to estimate mean noise variance in video sequences. The result is saved into a log file.

Settings

The basic menu of the filter

Noise estimation algorithm - the algorithm used to estimate noise. Following modes supported:

• MAD
• Block-Based
• Spatio-temporal gradients
• All algorithms

Advanced - configure algorithm details

Write noise estimates for each frame into file - path to log file.

Configure algorithm details: Block-Based

Block size - The parameter influencing on speed of work and accuracy of an estimation. The increase of this parameter reduces accuracy and reduces time of performance. For video with small homogeneous areas it is recommended to use smaller values.

Search step - The parameter influencing on speed of work and stability of an estimation. Great values increase speed of work and reduce stability of an estimation.

Rate - The parameter influencing on reliability and stability of an estimation. Great values are reasonable for using for video with the big homogeneous areas.

Margin - The size of unused edges of the image.

Brightness border - The parameter influencing reliability of an estimation. For video visually strongly polluted it is recommended to increase this parameter.

Configure algorithm details: Spatio-Temporal Gradients

Evaluation stability - The parameter influencing on stability of an estimation. The increase of this parameter increases stability, but reduces accuracy of an estimation.

Brightness border - The parameter influencing on reliability of an estimation. For video visually strongly polluted it is recommended to increase this parameter.

Job control & AviSynth

The filter supports Job Control, which allows to use it in AviSynth. Example:

LoadVirtualDubPlugin("...\VirtualDub\plugins\MSUNoiseEstimator.vdf","MSU_Noise_Estimator", 0)
clip=AVISource("...\clip_input.avi", false, "RGB24")
clip.ConvertToRGB32.MSU_Noise_Estimator("C:\log.csv", 0)

Parameters

¹	Description	Allowed values
0	File	Path to log file
1	Algorithm	0 - MAD 1 - Block-Based 2 - Spatio-Temporal Gradients 3 - All algorithms

Examples

Each graph shows the examples of noise detection on 4 video sequences: the original one and 3 with noise added.

Download

• This filter for VirtualDub (112 kb, ZIPped)

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
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Last updated: 07-December-2007

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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