基于小波域的分形图像压缩  

Fractal Image Compression Based on Wavelets

作　　者：郭欢[1] 

机构地区：[1]武汉理工大学信息工程学院,湖北武汉430070

出　　处：《武汉理工大学学报（信息与管理工程版）》2005年第5期28-30,共3页Journal of Wuhan University of Technology：Information & Management Engineering

基　　金：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。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.

关 键 词：小波变换 分形编码 图像压缩 迭代函数 

分 类 号：TN911.73[电子电信—通信与信息系统]