%0 Journal Article
%T An Improved Image Coding Algorithm Based on EZW and HVS<br>基于人眼视觉特性的嵌入式小波零树编码改进①
%A HUANG Li
%A FANG Hou-Hui
%A HE Cai-Jun
%A <br>黄丽
%A 方厚辉
%A 贺才军
%J 计算机系统应用
%D 2010
%I 
%X This paper analyses the basic theory of the EZW algorithm, and proposes an improved EZW based on eight symbols instead of four symbols used in EZW. In this method, giving the definition of zero-tree structure anew does not only reduce the complexity of encoding and decoding, but also saves the storage space and improves compression ratio. In e-classifying the significant symbols, the edge information is considered. At the same time, the number of zero tree roots is geatly redued and compression ratio is improved. Experimentsal results show that the improved algorithm performs better than EZW in reconstructing image quality .
%K wavelet transform
%K embedded zero-tree wavelets image encoding
%K image compression
%K edge information of image
%K zero-tree structure
%K human visual system<br>小波变换
%K 嵌入式小波零树编码
%K 图像压缩
%K 图像边缘信息
%K 零树结构
%K 人眼视觉特性
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=D4F6864C950C88FFCE5B6C948A639E39&aid=DE088342AA6FADA428BE1B2A68CCC898&yid=140ECF96957D60B2&vid=2A8D03AD8076A2E3&iid=94C357A881DFC066&sid=42425781F0B1C26E&eid=2001E0D53B7B80EC&journal_id=1003-3254&journal_name=计算机系统应用&referenced_num=0&reference_num=9