An image compression method based on fractal theory

被引：1
|
作者：
Hu, L [1 ]
Chen, QA [1 ]
Zhang, DQ [1 ]
机构：
[1] Xiamen Univ, Sch Comp & Informat Engn, Xiamen 361005, Peoples R China
来源：
PROCEEDINGS OF THE 8TH INTERNATIONAL CONFERENCE ON COMPUTER SUPPORTED COOPERATIVE WORK IN DESIGN, VOL 1 | 2004年
关键词：
D O I：
10.1109/CACWD.2004.1349082
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Fractal image compression is a new technique for encoding image compactly. It builds on local self-similarities within images. It has a character of high compression-ratio and can zoom in or out at will without losing any detail. But it has a disadvantage of lengthy compression time unfit for real-process and practical application. This paper provides an elementary introduction to this compression technique. We survey some of the advanced concepts such as hybrid methods and adaptive portioning. Furthermore, we bring about heuristic searching algorithm to decrease encoding time.
引用
收藏
页码：546 / 550
页数：5
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