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Error-diffused image compression using a binary-to-gray-scale decoder and predictive pruned tree-structured vector quantization

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2 Author(s)
Ming Yuan Ting ; Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA ; E. A. Riskin

The authors consider data compression of binary error diffused images. The original contribution is using nonlinear filters to decode error-diffused images to compress them in the gray-scale domain; this gives better image quality than directly compressing the binary images. Their method is of low computational complexity and can work with any halftoning algorithm

Published in:

IEEE Transactions on Image Processing  (Volume:3 ,  Issue: 6 )