A least squares algorithm for efficient context-based adaptive arithmetic coding

G. A. Triantafyllidis, M. G. Strintzis

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

1 Citation (Scopus)

Abstract

Discrete wavelet transforms are widely used for lossless image compression, The overall performance of these schemes may be further improved by properly designing efficient entropy coders. A novel technique for the implementation of context-based adaptive arithmetic entropy coding is presented in this paper. This technique is based on the prediction of the value of the current transform coefficient, employing a weighted least squares method, in order to achieve appropriate context selection for arithmetic coding. Experimental results illustrate and evaluate the performance of the proposed technique.

Original languageEnglish
Title of host publicationISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
Number of pages4
Publication date2001
Pages169-172
Article number921034
ISBN (Print)0780366859, 9780780366855
DOIs
Publication statusPublished - 2001
Event2001 IEEE International Symposium on Circuits and Systems, ISCAS 2001 - Sydney, NSW, Australia
Duration: 6 May 20019 May 2001

Conference

Conference2001 IEEE International Symposium on Circuits and Systems, ISCAS 2001
Country/TerritoryAustralia
CitySydney, NSW
Period06/05/200109/05/2001
SponsorIEEE Circuits and Systems Society
SeriesISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
Volume2

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