A New Approach Based on Set Partitioning in Hierarchical Tree Algorithm for Image Compression

作     者：Zitouni Athmane Baarir Zine Eddine Ouafi Abd Elkarim Taleb Ahmed Abdelmalik 

作者机构：LESIA Laboratory of Research Electronic Department University of Biskra Algeria Universite of Valenciennes and Hainaut Cambrdsis FRE CNRS 3304 UVHC LAMIH le mont houy 59313 Valenciennes Cedex 9 France 

出 版 物：《Computer Technology and Application》 (计算机技术与应用（英文版）)

年 卷 期：2011年第2卷第4期

页      面：270-279页

学科分类：0810[工学-信息与通信工程] 12[管理学] 1201[管理学-管理科学与工程(可授管理学、工学学位)] 08[工学] 081001[工学-通信与信息系统] 081201[工学-计算机系统结构] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Image compression set partitioning in hierarchical tree (SPIHT) MSPIHT entropy coding peak signal-to-noise ratio (PSNR) compression ratio. 

摘      要：In this paper, the authors propose a new approach to image compression based on the principle of Set Partitioning in Hierarchical Tree algorithm （SPIHT）. Our approach, the modified SPIHT （MSPIHT）, distributes entropy differently than SPIHT and also optimizes the coding. This approach can produce results that are a significant improvement on the Peak Signal-to-Noise Ratio （PSNR） and compression ratio obtained by SPIHT algorithm, without affecting the computing time. These results are also comparable with those obtained using the Embedded Zerotree Wavelet （EZW） and Joint Photographic Experts Group 2000 （JPG2） algorithms.