Unbalanced tree-growing algorithms for practical image compression

Karen L. Oehler, Eve A. Riskin, Robert M. Gray

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

A vector quantization compression system is presented which is suitable for use in commercial applications, i.e., efficient enough to encode a wide variety of images and simple enough to decode the images in real time using software (for machine compatibility). A fixed-rate code with unbalanced tree structure is used, and a method of unbalanced tree growing is extended. Simple prediction techniques are applied to improve coded image quality.

Original languageEnglish
Title of host publicationProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Editors Anon
Pages2293-2296
Number of pages4
StatePublished - 1991
EventProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91 - Toronto, Ont, Can
Duration: 14 May 199117 May 1991

Publication series

NameProceedings - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing
Volume4
ISSN (Print)0736-7791

Conference

ConferenceProceedings of the 1991 International Conference on Acoustics, Speech, and Signal Processing - ICASSP 91
CityToronto, Ont, Can
Period14/05/9117/05/91

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