首页 | 本学科首页   官方微博 | 高级检索  
     

基于小波域的分形图像压缩
引用本文:郭欢. 基于小波域的分形图像压缩[J]. 武汉理工大学学报(信息与管理工程版), 2005, 27(5): 28-30
作者姓名:郭欢
作者单位:武汉理工大学,信息工程学院,湖北,武汉,430070
基金项目:湖北省自然科学基金资助项目(2002AB041)
摘    要:对小波变换、分形压缩编码的原理和特点进行了分析;结合小波变换和分形压缩编码,利用分形的自相似,研究了基于小波域的分形图像压缩方法。该方法有效地减少了计算复杂度和编码时间。实验结果表明,该方法在较大的压缩范围内,能够获得好的压缩结果,同时也表明采用这种方法的潜力之所在。

关 键 词:小波变换  分形编码  图像压缩  迭代函数
文章编号:1007-144X(2005)05-0028-03
收稿时间:2005-05-15
修稿时间:2005-05-15

Fractal Image Compression Based on Wavelets
Guo Huan. Fractal Image Compression Based on Wavelets[J]. Journal of Wuhan University of Technology(Information & Management Engineering), 2005, 27(5): 28-30
Authors:Guo Huan
Abstract:The principles and features of the fractal coding and the wavelet transforms are analyzed.By the integration of wavelet transforms and fractal coding and by use of self-similarities,the image compression coding based on wavelet transforms and fractal coding is proposed with the iterated function system.This approach can significantly reduce the computation complexity and encoding time.A set of experiments and simulations show the proposed method has good performance within a broad compression rate scale.The potentials of using the technique for further improvement are pointed out.
Keywords:wavelet transform  fractal coding  image compression  iterated function system
本文献已被 CNKI 维普 万方数据 等数据库收录!
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