首页 | 本学科首页   官方微博 | 高级检索  
     检索      

基于小波域的分形图像压缩
引用本文:李波.基于小波域的分形图像压缩[J].北京航空航天大学学报,1998,24(4):386-390.
作者姓名:李波
作者单位:北京航空航天大学 计算机科学与工程系
基金项目:国家"八六三"高技术计划、北京市科技新星计划资助项目
摘    要:在分析产生块效应原因基础上,定义了一种度量块效应的客观方法.为了消除传统分形图像压缩中产生的块效应,提出先将原图像变换到小波域,再进行分形压缩.这种方法既继承了传统分形图像压缩的编码原理,又利用了小波变换的优良特性,从而取得了更好的压缩效果.此外,根据小波系数的能量分布特征,提出了一种加快相似匹配的方法.

关 键 词:图像数据处理  图像编码  图像变换  图像压缩  分形  小波变换
收稿时间:1998-04-17

Fractal Image Compression on Wavelet Domain
Li Bo,Lei Zhenyu.Fractal Image Compression on Wavelet Domain[J].Journal of Beijing University of Aeronautics and Astronautics,1998,24(4):386-390.
Authors:Li Bo  Lei Zhenyu
Institution:Beijing University of Aeronautics and Astronautics,Dept. of Computer Science and Engineering
Abstract:After analyzing the cause for generating tiling effect, an objective measure for calculating tiling effect is defined. In order to eliminate tiling effect, an original image is first transformed into wavelet domain, on which fractal compression and arithmetic coding are performed. This method inherits the principles of fractal coding and exploits the good characteristics of wavelet transform. Furthermore, similarity matching between blocks is sped up by utilizing the energy distribution among wavelet coefficients. As a result, image compression performances are improved in both PSNR and coding speed.
Keywords:image data processing  picture coding  image transforms  image compression  fractal  wavelet transforms
本文献已被 CNKI 维普 万方数据 等数据库收录!
点击此处可从《北京航空航天大学学报》浏览原始摘要信息
点击此处可从《北京航空航天大学学报》下载免费的PDF全文
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号