MSU JPEG 2000 Image Codecs Comparison
- Project head: Dr. Dmitriy Vatolin
- Measuring: Alexey Moskvin
- Refinement, translation: Oleg Petrov
- Verification: Artem Titarenko
- 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
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:
- Y-PSNR comparison.
- Visual comparison.
- Informal 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.
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 7.0, 18324 bytes
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.
MSU Benchmark Collection
- MSU Video Upscalers Benchmark 2022
- MSU HDR Video Reconstruction Benchmark 2022
- MSU Super-Resolution for Video Compression Benchmark 2022
- MSU Video Quality Metrics Benchmark 2022
- MSU Video Alignment and Retrieval Benchmark
- MSU Mobile Video Codecs Benchmark 2021
- MSU Video Super-Resolution Benchmark
- MSU Shot Boundary Detection Benchmark 2020
- MSU Deinterlacer Benchmark
- The VideoMatting Project
- Video Completion
- Codecs Comparisons & Optimization
- Video Quality Measurement Tool 3D
MSU Datasets Collection
- Video Filters