LOCO-I: a low complexity, context-based, lossless image compression algorithm

Marcelo J. Weinberger, Gadiel Seroussi, Guillermo Sapiro

Research output: Contribution to journalConference articlepeer-review

456 Scopus citations

Abstract

LOCO-I (LOw COmplexity LOssless COmpression for Images) is a novel lossless compression algorithm for continuous-tone images which combines the simplicity of Huffman coding with the compression potential of context models, thus 'enjoying the best of both worlds.' The algorithm is based on a simple fixed context model, which approaches the capability of the more complex universal context modeling techniques for capturing high-order dependencies. The model is tuned for efficient performance in conjunction with a collection of (context-conditioned) Huffman codes, which is realized with an adaptive, symbol-wise, Golomb-Rice code. LOCO-I attains, in one pass, and without recourse to the higher complexity arithmetic coders, compression ratios similar or superior to those obtained with state-of-the-art schemes based on arithmetic coding. In fact, LOCO-I is being considered by the ISO committee as a replacement for the current lossless standard in low-complexity applications.

Original languageEnglish (US)
Pages (from-to)140-149
Number of pages10
JournalProceedings of the Data Compression Conference
StatePublished - 1996
Externally publishedYes
EventProceedings of the 1996 Data Compression Conference, DCC'96 - Snowbird, UT, USA
Duration: Mar 31 1996Apr 3 1996

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

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