Probability Estimation in Arithmetic Coding and Its Application
Feifei Zhou1, Rui Yang, Bo Li
Available Online December 2008.
- 10.2991/jcis.2008.64How to use a DOI?
- Probability estimation, Arithmetic coding, Image compression
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.
- © 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/).
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 - 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 -