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基于不规则区域块匹配的分形图像压缩
引用本文:季本胜,但志平,王以治,黄艳. 基于不规则区域块匹配的分形图像压缩[J]. 华中科技大学学报(自然科学版), 2004, 32(1): 64-66
作者姓名:季本胜  但志平  王以治  黄艳
作者单位:华中科技大学,数学系,湖北,武汉,430074;华中科技大学,数学系,湖北,武汉,430074;华中科技大学,数学系,湖北,武汉,430074;华中科技大学,数学系,湖北,武汉,430074
摘    要:在基本分形图像压缩方法的基础上,结合Fisher方法提出了一种不规则区域块匹配的分形图像压缩方法.该方法根据值域块的几何特性选择不同规则形状的区域块,能有效扩充代码库,选择最匹配的区域块与值域块匹配,提高信噪比.实验表明,该方法在保持图像质量基础上有很好的压缩效果.

关 键 词:图像压缩  分形  迭代函数系统
文章编号:1671-4512(2004)01-0064-03
修稿时间:2003-06-18

The fractal image compression based on abnormity block matching
Ji Bensheng Dan Zhiping Wang Yizhi Huang Yan Postgraduate, Dept. of Mathematics,Huazhong Univ. of Sci. , Tech.,Wuhan ,China.. The fractal image compression based on abnormity block matching[J]. JOURNAL OF HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY.NATURE SCIENCE, 2004, 32(1): 64-66
Authors:Ji Bensheng Dan Zhiping Wang Yizhi Huang Yan Postgraduate   Dept. of Mathematics  Huazhong Univ. of Sci. & Tech.  Wuhan   China.
Affiliation:Ji Bensheng Dan Zhiping Wang Yizhi Huang Yan Postgraduate, Dept. of Mathematics,Huazhong Univ. of Sci. & Tech.,Wuhan 430074,China.
Abstract:Based on the basic fractal image compression approach and combined with Fisher technique, an approach of the fractal image compression was proposed through abnormity block matching. Because the abnormity block was chosen according to the geometry feature of range block, the code library was enlarged. The best block matching the range block was chosen and the PSNR of the image was improved. The computational results showed that the approach is of high performance in improving image compression based on retaining image quality.
Keywords:image compression  fractal  iterated function system
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