Abstract
Lossless image compression has often employed techniques quite separate from those used for text compression or lossy image compression; most standards today employ modelling followed by coding (e.g. the JBIG standard, the IBM Q-coder, CCITT Group 4). Constantinescu and Storer present 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; recently, Constantinescu and Storer have experimented with this approach for lossless hi-level image compression with great success, Here we generalize 'LZ1'-type methods (that identify matches in previously seen text) to lossless image compression. We examine complexity issues and finish by considering practical 2-D implementations for bi-level images.
Translated title of the contribution | Lossless image compression by block matching |
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Original language | English |
Pages (from-to) | 137 - 145 |
Journal | Computer Journal |
Volume | 40 |
Issue number | 2-3 |
DOIs | |
Publication status | Published - 1997 |
Bibliographical note
Publisher: Cambridge Univ PressOther identifier: IDS number YF653