Symbol mapping and context filtering for lossless image compression

被引：0
|
作者：
Deng, G [1 ]
机构：
[1] La Trobe Univ, Dept Elect Engn, Bundoora, Vic 3083, Australia
来源：
1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 1 | 1998年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Key building blocks of lossless image compression algorithms include adaptive prediction, context-based error feedback and adaptive entropy coding. This paper presents a new alogrithm which includes two other building blocks - symbol mapping and context filtering. Experimental results show that the compression performance of the proposed algorithm is very close to that of CALIC and is better than that of LOGO and S+P. Experimental results also show that symbol mapping and context filtering are promising tools for lossless image compression.
引用
收藏
页码：526 / 529
页数：4
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