Lossy Image Compression Results

Lossy compression results on the New Test Images.

Implementations Used

For Jpeg, IJG's open-source implenemtation v6b was used with libpnm executables (Parameters: -baseline -quality X)

For Jpeg 2000, Kakadu v6.0 demo executables were used (Parameters: -rate X)

For HD Photo, MS DPK v1.0 was used (Parameters: -c 9 -q X)

For visual quality measurement, TU Berlin implementation of SSIM by Felix Oum and Thomas Richter was used

Let me know if you want to see some other algorithm/implementation included in the benchmark. Goal is not to be exhaustive and cover all algorithms/implementations, the results must be interesting enough.

Results measure visual-quality of images compressed at different bit-rates by various algorithms. Higher SSIM value means better visual quality of compressed image. Higher quality at same bit-rate means better results. Click on the images to enlarge, you can enlarge multiple images at same time.