一种基于改进EZW算法的图像压缩方法  

Improved EZW Algorithm for Image Compression

作　　者：李津平[1] 芮小平[2] 杨崇俊[1] 

机构地区：[1]中国科学院遥感应用研究所遥感信息国家重点实验室,北京100101 [2]北京交通大学交通运输学院,北京100044

出　　处：《计算机应用研究》2006年第8期174-176,共3页Application Research of Computers

基　　金：国家"973"重点基金资助项目(G2000077906)

摘　　要：在EZW算法的基础上提出了一种适合大型图像压缩的改进算法,该算法首先将巨型图像分解为若干幅小的图像块,对这些小图像子块进行小波变换后,先用EZW对其进行编码,再用Huffman技术对其进行二次编码。该方法既能够保证利用小波系数之间的层次关系,又能提高图像的压缩率。还提出了一种自适应读写图像的方法,根据图像的大小自动调用不同的读写方式,为大型图像在W eb上实时发布和漫游提供了技术基础。This paper presents an improved EZW algorithm for massive image compression. This method divides the massive image into some sub-blocks. Based on the wavelet transformation for these sub-blocks, it first uses EZW coding for them and then uses Huffman coding for them. This method can ensure that makes the best use of the hiberarchy relationship of wavelet coefficients and also can improve the compress rate. The authors brings out an adaptive reading/writing method according to the size of image, which is composed of two parts-strip reading/writing and block reading/writing, the cache mechanisms of these two parts are also introduced in this paper. The authors apply this method into browsing massive image on Web and get a good effect.

关 键 词：小波 EZW 图像压缩 自适应读写 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]