Fractal Image Coding with Simulated Annealing Search

被引：0

作者：

Furao, Shen ^{[1
]}

Hasegawa, Osamu ^{[2
]}

机构：

[1] TIT, Dept Computat Intelligence & Syst Sci, Midori Ku, R2-52 Imaging Sci & Engn Lab,4259 Nagatsuta, Yokohama, Kanagawa 2268503, Japan

[2] Tokyo Inst Technol, Imaging Sci & Engn Lab, Midori Ku, Yokohama, Kanagawa 2268503, Japan

来源：

JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS | 2005年 / 9卷 / 01期

关键词：

fractal image coding; simulated annealing; global optimal searching; iterated function system (IFS);

D O I：

10.20965/jaciii.2005.p0080

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The main shortcomings of fractal image coders are (1) the slow speed for searching domain block pool, and (2) known fast algorithms leading to a loss of image quality. We propose efficient fractal image coding using simulated annealing method. Compared to previous schemes, our proposal greatly increases the search speed of domain block pool with almost no image quality loss. Experimental results indicate the high feasibility of the proposed method, which is, furthermore, extendable to other fractal coders.

引用

页码：80 / 88

页数：9

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