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分形图像压缩编码的研究进展
引用本文:张德辉,杨守义,邵霞. 分形图像压缩编码的研究进展[J]. 郑州大学学报(理学版), 2003, 35(4): 45-50
作者姓名:张德辉  杨守义  邵霞
作者单位:1. 郑州大学信息工程学院,郑州,450052
2. 中国网通河南通信郑州分公司,郑州,450052
基金项目:河南省教育厅基础研究项目,编号 2 0 0 0 5 10 0 0 2
摘    要:综述了近年来在分形图像编码方面的最新进展,详细分析了分形图像编码在图像分割算法、对域块的变换、域池选择、图像编码、匹配块的搜索策略、仿射变换实现和图像解码等几个方面的研究现状以及在这些方面的性能优化问题。对其中的每一个方面,都探讨了一些最新的典型方法,并对这些方法在复杂度、精度、收敛性等方面进行了简要的性能比较,指出了分形编码存在编码速度慢等问题,指明快速分形编码及与其它编码方法的联合编码的研究方向。

关 键 词:分形图像压缩编码 压缩存储 解码 数字图像 视频信号
文章编号:1671-6841(2003)04-0045-06
修稿时间:2002-12-02

Advances in Research on Fractal Image Coding
Zhang Dehui ,Yang Shouyi ,Shao Xia. Advances in Research on Fractal Image Coding[J]. Journal of Zhengzhou University(Natrual Science Edition), 2003, 35(4): 45-50
Authors:Zhang Dehui   Yang Shouyi   Shao Xia
Affiliation:Zhang Dehui 1,Yang Shouyi 1,Shao Xia 2
Abstract:A survey of the most significant advances in practical and theoretical is represented.Some aspects in the fractal image coding are analyzed in detail.These include image partition,transformation of domain blocks,selection of domain pool,image coding,searching strategy of match block,implementation of transformation and image decoding.The optimization of performance in these aspects is also discussed.For every fractal coding aspect,typical algorithms are discussed and evaluated.It is pointed that the fractal image coding is faced the difficulty of high computational complexity,and combining fractal method with other image coding algorithms will probably produce promising development.Comparison of performance in complexity,precision and convergence also is done briefly.
Keywords:fractal  image coding  compression storage
本文献已被 CNKI 维普 万方数据 等数据库收录!
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