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Project head: Dr. Dmitriy Vatolin
Measuring: Alexey Moskvin
Refinement, translation: Oleg Petrov
Verification: Artem Titarenko

About comparison

Tested codecs:

• JASPER 1.701.0
• ACDSee 7.0
• Leadtools JPEG 2000 Photoshop plug-in 1.0
• Morgan JPEG 2000 toolbox 1.2 rev 0.0
• Lurawave 2.1.10.04
• Kdu_compress 4.5.2
• JPEG 2000 Compressor (Anything 3D) 1.00.000
• Elecard Wavelet 3.0 Beta
• Photoshop CS2 ‘native’ plug-in 1.6

Download MSU JPEG 2000 Image Codecs Comparison (27 pages in PDF, 1543 KB)

Nine codecs have been tested on four images with six compression rates, 216 resulting images.

Goal of JPEG 2000 codecs testing

JPEG 2000 is a new format for image compression. It was developed to replace popular JPEG format and has a lot of advantages: higher compression ratios are available, lossless mode, progressive downloads, error correction, etc.. The main goal of this testing was the comparison of compression quality of available JPEG 2000 codecs: is there any significant difference between implementations of this standard?

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 MSU Video Quality Measurement Tool.

Y-PSNR is the difference in brightness component. One JPEG codec is also plotted on graphs. On the following graph one can see that JPEG is far behind the JPEG 2000.
Warning: this is only one of eight graphs from our comparison! All of them can be found in the PDF with comparison.

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 artifacts. For example, we can't estimate the quality of the blurring artifacts compensation performed by some codec using only PSNR metric. Also in some cases it is difficult to say whether 2 dB difference is significant or not.

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

Download

• Download PDF (1543 KB).
• Download PDF (in ZIP, 1497 KB).

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 (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 (New!)	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 (New!) Deblurring filter Video Content Marking
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) Ads 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 sponsored by YUVsoft Corp.

Project supported by MSU Graphics & Media Lab