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对EZW图像编码算法的改进
引用本文:刘旭红,施运梅,刘福恒,张 君. 对EZW图像编码算法的改进[J]. 计算机工程与应用, 2007, 43(16): 58-60
作者姓名:刘旭红  施运梅  刘福恒  张 君
作者单位:北京机械工业学院,计算机与自动化系,北京,100089;莱阳农学院,信息科学与工程学院,山东,青岛,266109;北京理工大学,计算机科学技术学院,北京,100081
摘    要:提出了一种简单而有效的静态图像压缩算法,根据图像经小波分解后系数的特点以及人眼对图像的边缘信息更加敏感的特性,对Shapiro的EZW算法进行改进。由于改进后的算法更加注重边缘信息的编码,实验结果表明重构后的图像更加清晰,尤其在低比特率时更加明显。

关 键 词:嵌入零树小波编码  图像压缩  小波变换
文章编号:1002-8331(2007)16-0058-03
修稿时间:2007-03-01

Improved EZW image encoding algorithm
LIU Xu-hong,SHI Yun-mei,LIU Fu-heng,ZHANG Jun. Improved EZW image encoding algorithm[J]. Computer Engineering and Applications, 2007, 43(16): 58-60
Authors:LIU Xu-hong  SHI Yun-mei  LIU Fu-heng  ZHANG Jun
Affiliation:1.Department of Computer and Automation,Beijing Institute of Machinery,Beijing 100089,China 2.College of Information Science and Engineering,Laiyang Agriculture University,Qingdao,Shandong 266109,China 3.School of Computer Science & Technology,Beijing Institute of Technology,Beijing 100081,China
Abstract:A simple,yet effective still image compression algorithm is described in this paper.According to the characteristic of coefficients and Human Visual System(HVS),an attempt is made to improve Shapiro's EZW algorithm.The enhanced algorithm pays more attention to the edge of one image because human visual system is sensitive to edge information.Experiments results show that the enhanced algorithm performs better than that of EZW in image quality,especially in the case of low rate.
Keywords:embedded zerotree wavelet coding   image compression   wavelet transform
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