Improved Frequency Table Adjusting Algorithms for Context-Based Adaptive Lossless Image Coding

被引：0
|
作者：
Ding, Jian-Jiun [1 ]
Wang, I-Hsiang [1 ]
机构：
[1] Natl Taiwan Univ, Grad Inst Commun Engn, Taipei, Taiwan
来源：
2016 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS-TAIWAN (ICCE-TW) | 2016年
关键词：
COMPRESSION;
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：
Lossless image compression can preserve all information of the original image and is useful for security and medical image processing. In this paper, we apply improved adaptive arithmetic coding to further improve the coding efficiency of context-based adaptive lossless image coding (CALIC), which is a well-known lossless image compression algorithm. We apply the techniques of mutual learning, initialization for the frequency table, and the increasingly adjusting step to improve adaptive arithmetic coding and apply them in the CALIC algorithm. Simulations show that, with the proposed coding techniques, the performance of CALIC for lossless image compression can be obviously improved.
引用
收藏
页码：323 / 324
页数：2
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