基于红-黑小波变换的图像数据压缩方法  

Method of Image Compression Based on Red-black Wavelet Transform

作　　者：刘家胜[1] 黄贤武[1] 谈振兴[2] 仲兴荣[1] 

机构地区：[1]苏州大学电子信息学院,苏州215021 [2]南昌大学物理系,南昌330027

出　　处：《计算机工程》2005年第7期180-182,共3页Computer Engineering

基　　金：江苏省自然科学基金资助项目(BK2001137)

摘　　要：提出了一种新的变换方法――红–黑小波变换用于图像的压缩,红–黑小波变换与张量积小波变换相比,它的去相关性更好,能得到更稀疏的图像表示。从理论分析和实验结果表明,将红–黑小波变换用于图像压缩是一种更为有效的方法。In this paper, a new transform method used in image compression is presented, which is named as the red-black wavelet transform. It can be used in image compression. Compared to by classical tensor product wavelets, the relativity of image can mostly be eliminated and the sparser representation of image can be obtained by the red-black wavelet transform. The theory analysis and the experiment show that the red-black wavelet transform has more efficiency in image compression by it.

关 键 词：红-黑小波变换 图像压缩 图像的稀疏表示 提升小波变换 

分 类 号：TN919.81[电子电信—通信与信息系统]