Computer Engineering and Applications ›› 2007, Vol. 43 ›› Issue (16): 58-60.

• 学术探讨 • Previous Articles     Next Articles

Improved EZW image encoding algorithm

LIU Xu-hong1,SHI Yun-mei1,LIU Fu-heng2,ZHANG Jun3   

  1. 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
  • Received:1900-01-01 Revised:1900-01-01 Online:2007-06-01 Published:2007-06-01
  • Contact: LIU Xu-hong

对EZW图像编码算法的改进

刘旭红1,施运梅1,刘福恒2,张 君3   

  1. 1.北京机械工业学院 计算机与自动化系,北京 100089
    2.莱阳农学院 信息科学与工程学院,山东 青岛 266109
    3.北京理工大学 计算机科学技术学院,北京 100081
  • 通讯作者: 刘旭红

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.

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。