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Near-lossless image compression: minimum-entropy, constrained-error DPCM

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2 Author(s)
Ligang Ke ; Dept. of Electr. & Comput. Eng., Arizona Univ., Tucson, AZ, USA ; Marcellin, M.W.

A near-lossless image compression scheme is presented. It is essentially a differential pulse code modulation (DPCM) system with a mechanism incorporated to minimize the entropy of the quantized prediction error sequence. With a “near-lossless” criterion of no more than a d gray-level error for each pixel, where d is a small nonnegative integer, trellises describing all allowable quantized prediction error sequences are constructed. A set of “contexts” is defined for the conditioning prediction error model and an algorithm that produces minimum entropy conditioned on the contexts is presented. Finally, experimental results are given

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Image Processing, IEEE Transactions on  (Volume:7 ,  Issue: 2 )