Benchmark

Lossless Results Lossy Results Test Images

By Rawzor - Lossless compression software for camera raw images

Lossy Image Compression Results

Lossy compression results on the New Test Images.

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. You can also download numbers as tab separated text file.

artificial.ppm


3072x2048

Compression - Visual Quality

big_building.ppm


7216x5412

Compression - Visual Quality

big_tree.ppm


6088x4550

Compression - Visual Quality

bridge.ppm


2749x4049

Compression - Visual Quality

cathedral.ppm


2000x3008

Compression - Visual Quality

deer.ppm


4043x2641

Compression - Visual Quality

fireworks.ppm


3136x2352

Compression - Visual Quality

flower_foveon.ppm


2268x1512

Compression - Visual Quality

hdr.ppm


3072x2048

Compression - Visual Quality

leaves_iso_200.ppm


3008x2000

Compression - Visual Quality

leaves_iso_1600.ppm


3008x2000

Compression - Visual Quality

nightshot_iso_100.ppm


3136x2352

Compression - Visual Quality

nightshot_iso_1600.ppm


3136x2352

Compression - Visual Quality

spider_web.ppm


4256x2848

Compression - Visual Quality

zone_plate.ppm


3000x2000

Compression - Visual Quality

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.

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