Lossless image compression by block matching

JA Storer, HA Helfgott

Research output: Contribution to journalArticle (Academic Journal)peer-review

29 Citations (Scopus)


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 contributionLossless image compression by block matching
Original languageEnglish
Pages (from-to)137 - 145
JournalComputer Journal
Issue number2-3
Publication statusPublished - 1997

Bibliographical note

Publisher: Cambridge Univ Press
Other identifier: IDS number YF653


Dive into the research topics of 'Lossless image compression by block matching'. Together they form a unique fingerprint.

Cite this