RUSSIAN VERSION

MSU JPEG 2000 Image Codecs Comparison

MSU Graphics & Media Lab (Video Group)

Take a look at this article on the new site! Follow the link
https://videoprocessing.ai/codecs/jpeg2000-codecs-comparison-2005.html

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, 2.01 MB)

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.

ACDSee
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 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.

ACDSee
ACDSee 7.0, 18324 bytes 		Photoshop CS2
Photoshop CS2 plug-in 1.6, 18669 bytes
On these images one can easily see that on this test picture Photoshop CS produces more artifacts than ACDSee.
There are samples of images compressed by every codec in PDF with comparison.

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: 12-May-2022

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