A context based adaptive arithmetic coding technique for lossless image compression

作     者：Triantafyllidis, GA Strintzis, MG 

作者机构：Aristotelian Univ Salonika Informat Proc Lab GR-54006 Salonika Greece 

出 版 物：《IEEE SIGNAL PROCESSING LETTERS》 (IEEE Signal Process Lett)

年 卷 期：1999年第6卷第7期

页      面：168-170页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

主　　题：image coding lossless coding 

摘      要：Significant progress has recently been made in lossless image compression using discrete wavelet transforms. The overall performance of these schemes may be further improved by properly designing efficient entropy coders. In this letter, a new technique is introduced for the implementation of context-based adaptive arithmetic entropy coding. This technique is based on the prediction of the value of the current transform coefficient, using 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.