Probability Estimation in Arithmetic Coding and Its Application

DOI

10.2991/jcis.2008.64How to use a DOI?

Keywords

Probability estimation, Arithmetic coding, Image compression

Abstract

Arithmetic coding is an indispensable part of high performance data compression, which theoretically could encode data close to Shannon entropy. In arithmetic coding, probability estimation is an important step, because it determines coding efficiency directly. The paper discusses the probability estimation of non-stationary sources—a broad class of sources in practical application, such as images and videos. Especially, the paper deeply analyzes the characteristics of encoded bit stream in wavelet image compression. Then an efficient strategy is proposed, which utilizes the correlations between subbands of wavelet coefficients efficiently. Experimental results show that this method could improve image compression efficiency.

Copyright

© 2008, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Feifei Zhou
AU  - Rui Yang
AU  - Bo Li
PY  - 2008/12
DA  - 2008/12
TI  - Probability Estimation in Arithmetic Coding and Its Application
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 376
EP  - 381
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.64
DO  - 10.2991/jcis.2008.64
ID  - Zhou2008/12
ER  -