Compression project >> Video Area Home

MSU Brightness Independent PSNR
(BI-PSNR)

Project, Ideas: Dr. Dmitriy Vatolin
Implementation: Alexey Noskov
Updating and additions: Sergey Grishin

Common idea

BI-PSNR metric is intended for measuring distortions in video taking into account brightness shifts.

Change Log

[!] - Known bug
[+] - New Feature
[*] - Other

Version 1.1
[*] Visualization bug fixed for non-stadard resolution video

Usage

BI-PSNR metric should be used when one of the sequences has any brightness transformation, which does not change within frame. Example of such transformation is uniform increasing of brightness of contrast for single frame of for all sequence. Such transformations prevent usage of standard metrics because of strong brightness difference between comparing frames. BI-PSNR algorithm calculates brightness transformation, which makes frames similar as possible and calculates standard PSNR and MSE metrics taking into account founded transformation.

Visualization

There are two part of visualization:

• MSE visualization for frame. Colors of visualization are standard for MSE (in order of error increasing): black-blue-green-red.
• Brightness transformation plot. X-axis is brightness at the first sequence, Y-axis - brightness on the second one. Green points are values, which corresponds to each other (brightness transformation). Red diagonal is identical transformation (no brightness changes).

Example of visualization:

Visualization of the same frame using standard PSNR:

Plots

Plots of per-frame PSNR values after the found transformation are drawing after all calculations. Plots are entirely the same as standard per-frame PSNR

Plot's example:

Standard PSNR plot for the same sequence is shown below:

Algorithm

Table C[i,j] is filling for each frame: C[i,j] = { number of points in the same position, which have brightness "i" at the first sequence frame and "j" at the second sequence frame }

Next, for each "i" (brightness value from the first frame) we find corresponding brightness from the second sequence. Following formula is used to estimate distanse from arbitrary values of "i" and "j":

One can note that this formula is sum of quadratic differences between all pixels of the first sequence with value "i" and all corresponding pixels from second sequence on the assumption that brightness was shifted to "i-j".

When transformation was found, we can find MSE for the frame taking into account this transformation:

Download

• Metric as plug-in for MSU VQMT (ZIP, 54 Kb)
• Metric's sources for VS7, VS8 (ZIP, 16 Kb)
• MSU Video Quality Measurement Tool
• License text for sources and binary files (LGPL)

MSU Video Quality Measurement tools
• MSU Video Quality Measurement Tool - program for objective comparison
  • Features
  • Setting & screenshots
  • FAQ
  • Metrics info
  • PRO-version
  • Download & purchase
  • Plugins & Plugin SDK
    • MSU Brightness Flicking Metric
    • MSU Brightness Independent PSNR
    • MSU Drop Frame Metric
    • MSU Noise Estimation Metric
    • MSU Scene Change Detector
• MSU Human Perceptual Quality Metric - several metrics for exact visual tests
  • Implemented metrics short info:
    ITU-R BT.500-11: DSIS, DSCQS I & II, SCACJ; EBU: SAMVIQ; MSUCQE
  • MSU PVQ Metric Tool FAQ
  • MSU Perceptual Video Quality Tool PDF

Other resources

Video resources:

MSU Video Quality Measurement Tool 2.6 released!
CALL FOR MPEG4-AVC/H.264 CODECS!

Public MSU video filters Here are available VirtualDub and AviSynth filters. For a given type of digital video filtration we typically develop a family of different algorithms and implementations. 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!) 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 (New!) 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 TV Commercial Detector (New!) 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. 3D Displays Video Generation (New!) 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 5-th MPEG4-AVC/H.264 Comparison (New!) Codec Analysis for Companies: (New!) Research and Development Projects (New!) ViCoS - Video Codecs Scoring System (New!) MSU Video Quality Measurement Tool (New!) 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	MSU Video Quality Measurement tools Programs with different objective and subjective video quality metrics implementation MSU Video Quality Measurement Tool - objective metrics for codecs and filters comparison (New!) (Top!) Implemented metrics short info: PSNR, Delta, MSAD, MSE, SSIM, VQM, MSU Blurring Metric, MSU Blocking Metric MSU Brightness Flicking Metric MSU Brightness Independent PSNR MSU Drop Frame Metric MSU Noise Estimation Metric MSU Scene Change Detector MSU VQMT 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!)

Bookmark this page:   Add to Del.icio.us     Digg It     reddit
 

Last updated: 27-November-2009

---

Search (Russian): Server size: 7961 files, 1036Mb (Server statistics)

Project updated by
Server Team and MSU Video Group

Project sponsored by YUVsoft Corp.

Project supported by MSU Graphics & Media Lab