[1]叶瑞松,宋 君.分形图像压缩算法[J].深圳大学学报理工版,2001,18(1):84-91.
 YE Rui-song and SONG Jun.Fractal Image Compression[J].Journal of Shenzhen University Science and Engineering,2001,18(1):84-91.
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分形图像压缩算法()
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《深圳大学学报理工版》[ISSN:1000-2618/CN:44-1401/N]

卷:
第18卷
期数:
2001年1期
页码:
84-91
栏目:
化学与化工
出版日期:
2001-03-30

文章信息/Info

Title:
Fractal Image Compression
文章编号:
1000-2618 (2001) 01-0084-08
作者:
叶瑞松 宋 君
汕头大学数学研究所, 汕头515063
Author(s):
YE Rui-song and SONG Jun
Institute of Mathematics Shantou University, Shantou 515063, P.R.China
关键词:
分形图像压缩仿射变换
Keywords:
fractal image compression affine transformation
分类号:
TP 391
文献标志码:
A
摘要:
分形图像压缩是近年产生的图像压缩技术, 它以分形几何为数学基础,将原始数字图像看作压缩变换的吸引子.其压缩编码思想是将图像划分为互不重叠的值块, 同时以相互重叠的域块构成图像的虚拟码书, 由最小均方差准则在虚拟码书中搜索与值块最相匹配的域块.编码过程保存了匹配的仿射变换信息, 从而达到压缩目的.本文综述了分形图像压缩算法, 讨论了自适应分区法和减低复杂度技术的方法.
Abstract:
Fractal image compression is a novel technique for image compression with fractal geometry as its mathematical foundation. This paper presents a brief review to this compression technique. Basic fractal image compression algorithm, adaptive partitioning methods, complexity reduction methods, alternative choice of affine transformation and so on are discussed. Finally, some problems are given for further study.

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更新日期/Last Update: 2015-11-27