ADCT: A NEW HIGH QUALITY DCT BASED CODER FOR LOSSY IMAGE COMPRESSION
ADCT in 2008 was state-of-the-art lossy image compression method provided the best ratio-distrortion performance in the scientific literature.
ADCT is FREE for scientific use.
N.N. Ponomarenko, V.V. Lukin, K.Egiazarian, J. Astola, "ADCTC: a new high quality DCT based coder for lossy image compression", CD ROM Proceedings of LNLA, Switzerland, August 2008, 6 p.
A research version of the coder (only for Photoshop grayscale RAW images coding) and test images are given below:
adct.zip (50 Kb) - ADCT.
testset1.zip (3 Mb) - set of 512x512 grayscale test images (16 images).
testset2.zip (25 Mb) - set of 2288x1712 grayscale test images (8 images).
Comparison of the coders JPEG, JPEG2000, and ADCT for entire set of the test images 2288x1712 pixels (see the paper).
JPEG - JPEG with the uniform quantization and deblocking
JPEG2000 - D. Taubman, M. Marcellin, JPEG 2000: Image Compression Fundamentals, Standards and Practice. Boston: Kluwer, 2002
Visual comparison (bpp for all compared methods is equal to 0.25):
1 - Original image, 2 - JPEG image, 3 - JPEG2000 image, 4 - ADCT image, 5 - Partition scheme for ADCT
Use mouse and keyboard to switch between images.
Key words: efficient DCT based lossy image compression, image compression using partition schemes, advanced image compression,
the best ratio-distortion performance, heuristic context modeling, adaptive compression, signs coding, deblocking,
context-based entropy coding, state-of-the-art lossy image compression, discrete cosine transform.
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Last changed: 2018-12-15.