11th Joint International Conference on Information Sciences

Probability Estimation in Arithmetic Coding and Its Application

Authors
Feifei Zhou 0, Rui Yang, Bo Li
Corresponding Author
Feifei Zhou
0Beihang University
Available Online December 2008.
DOI
https://doi.org/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.
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Proceedings
11th Joint International Conference on Information Sciences
Part of series
Advances in Intelligent Systems Research
Publication Date
December 2008
ISBN
978-90-78677-18-5
ISSN
1951-6851
DOI
https://doi.org/10.2991/jcis.2008.64How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

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  - 11th Joint International Conference on Information Sciences
PB  - Atlantis Press
SP  - 376
EP  - 381
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.64
DO  - https://doi.org/10.2991/jcis.2008.64
ID  - Zhou2008/12
ER  -