一种改进的零树结构编码算法研究  

Researches of an Image Compression Algorithm Based on Improved Zerotree Wavelet

作　　者：张春香[1] 曾孝平[1] 

机构地区：[1]重庆大学通信工程学院,重庆400044

出　　处：《现代电子技术》2006年第5期130-132,136,共4页Modern Electronics Technique

摘　　要：现在大部分图像压缩技术都利用了小波变换后图像不同分辨率反相同方向子带之间的相关性。采用双正交提升小波将图像变换到小波域,通过增加熵编码的符号集,提出了一种基于正交小波变换的增广零树压缩编码算法,在整个编译码过程中仅使用一个系数列表,况且不进行任何排序操作。通过相关实验,证实该方法能有效进行图像压缩,提高了压缩率。Nowadays, most image compression techniques exploit the dependencies between subbands in a wavelet transformed image. This paper adopts the bi-orthogonal lifted wavelet to transform images into wavelet field. Based on the bi-orthogonal wavelet, a progressive augmented zerotree image coding algorithm is put forward by adding symbols of entropy encoding. Both the coder and decoder require to maintain only one list,and it has no sorting operation. Experimental results show that this method can compress image more efficiently with high compression ratio.

关 键 词：双正交小波变换 EZW 增广零树 图像压缩 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]