Two-Stage Lossy/Lossless Compression of Grayscale Document Images.

Computational Imaging and Vision(2002)

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摘要
This paper describes a. two-stage method of document image compression wherein a grayscale document image is fil sl processed to improve its compressibility, then losslessly compressed. The initial processing involves hierarchical, coarse-to-fine morphological operations designed to combat the noiselike variability of the low-order bits while attempting to preserve or even improve intelligibility. The result of this stage is losslessly compressed by atl arithmetic coder that uses a mixture model to derive context-conditional graylevel probabilities. The lossless stage is compared experimentally with several reference methods, and is found to be competitive at ail rates. The overall system is found to be comparable with JPEG in terms of mean-square error performance, but appears to outperform JPEG in terms of subjectively judged document image intelligibility.
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关键词
document image compression,image morphology,arithmetic coding,multiresolution,Gaussian mixtures
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