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Windows Media Photo (Microsoft HD Photo) and JPEG 2000 Codecs Comparison

MSU Windows Media Photo (Microsoft HD Photo) and JPEG 2000 Codecs Comparison
MSU Graphics & Media Lab (Video Group)

Project head: Dr. Dmitriy Vatolin
Measurements: Alexey Moskvin
Refinement, translation: Oleg Petrov

About comparison

Tested codecs:

Download MSU Windows Media Photo and JPEG 2000 Codecs Comparison (26 pages in PDF, 4833 KB)

Goal of WMPhoto testing

WMPhoto is a new format for image compression that is said to have better quality/compression ratio than that of current standards, including JPEG 2000. The main goal of this testing was the verification of superiority of WMPhoto by comparing it against nine JPEG 2000 codecs from last year's JPEG 2000 Image Codecs Comparison.

Main comparison parts:

  1. Y-PSNR comparison.
  2. Visual comparison.
  3. Informal comparison.
PSNR comparison

PSNR is a metric used to compare two pictures: the more per pixel difference between the pictures is the less is PSNR value. So the higher is the codec's line on the graph the better is the compression quality.

PSNR was measured using the PRO version of MSU Video Quality Measurement Tool (with command line support).

Y-PSNR is the difference in brightness component. There are three graphs for WMPhoto, they correspond to different values of overlapping parameter ("l").
Warning: this is only one of eight graphs from our comparison! All of them can be found in the PDF with comparison..


Barbara image, Y-PSNR Visual codec comparison

In most cases the PSNR value is in accordance with the compression quality. But sometimes this metric does not reflect presence of some important visual artefacts. For example, we can't estimate the quality of the blurring artefacts compensation performed by some codec using only PSNR metric. Also in some cases it is difficult to say whether 2 dB differens is significant or not.

That is why in addition to PSNR graphs we use visual comparison of images compressed by different codecs.

Download See all MSU Video Codecs Comparisons

MSU video codecs comparisons resources:

 e-mail:  Other resources Video resources: 3D and stereo video
Projects on 3D and stereo video processing and analysis
MSU Video Quality Measurement tools
Programs with different objective and subjective video quality metrics implementation Codecs comparisons
Objective and subjective quality evaluation
tests for video and image codecs
Ext. link: x264 parameters efficiency comparison 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. 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. Video codecs projects
Different research and development
projects on video codecs Other
Other information Last updated: 28-May-2025 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

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