Abstract
Lossless image compression has traditionally employed techniques quite separate from those used for text compression or lossy image compression; most standards employ modeling followed by coding (e.g., the JBIG standard, the IBM Q-coder, CCITT Group 4). Constantinescu and Storer [1994] presented a lossy image compression scheme that can be viewed as a generalization of lossless dynamic dictionary compression (LZ2 type methods) to two dimensions with approximate matching; Constantinescu and Storer [1995] have experimented with this approach for lossless image compression with great success. Here we generalize LZ1 type methods to lossless image compression. We examine complexity issues and 2D implementations.
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