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

G. A. Triantafyllidis, M. G. Strintzis

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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.

OriginalsprogEngelsk
TitelISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
Antal sider4
Publikationsdato2001
Sider169-172
Artikelnummer921034
ISBN (Trykt)0780366859, 9780780366855
DOI
StatusUdgivet - 2001
Begivenhed2001 IEEE International Symposium on Circuits and Systems, ISCAS 2001 - Sydney, NSW, Australien
Varighed: 6 maj 20019 maj 2001

Konference

Konference2001 IEEE International Symposium on Circuits and Systems, ISCAS 2001
Land/OmrådeAustralien
BySydney, NSW
Periode06/05/200109/05/2001
SponsorIEEE Circuits and Systems Society
NavnISCAS 2001 - 2001 IEEE International Symposium on Circuits and Systems, Conference Proceedings
Vol/bind2

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