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一种改进的基于人眼视觉特性的零树图像编码算法
引用本文:黄贤武,李家骅,陈东华. 一种改进的基于人眼视觉特性的零树图像编码算法[J]. 计算机研究与发展, 2001, 38(8): 977-981
作者姓名:黄贤武  李家骅  陈东华
作者单位:苏州大学通信与电子工程系
基金项目:江苏省自然科学基金项目资助 (BK9714 3 )
摘    要:提出的是一种简单而有效的静态图像压缩算法,它根据图像经小波(wavelet)分解后系数的特点和人眼视觉特性(HVS)对Shapiro的EZW算法进行改进。改进后的算法所生成的比流中的比特是根据HVS重要性排序的,所需要的排序信息根据最低频带的系数计算得到,最低频带进行无失真编码,因而该算法不需要额外的信息,从而支持完整意义上的多码率。

关 键 词:静态图像 人眼视觉特性 EZW算法 图像处理 图像编码 小波变换 算法

AN ENHANCED IMAGE CODING ALGORITHM BASED ON HVS AND ZEROTREES
HUANG Xian Wu,LI Jia Hua,and CHEN Dong Hua. AN ENHANCED IMAGE CODING ALGORITHM BASED ON HVS AND ZEROTREES[J]. Journal of Computer Research and Development, 2001, 38(8): 977-981
Authors:HUANG Xian Wu  LI Jia Hua  and CHEN Dong Hua
Abstract:A simple, yet effective still image compression algorithm is described in this paper. According to the characteristic of coefficients in higher subbands and human visual system(HVS), an attempt is made to improve Shapiro's EZW algorithm. The improved algorithm has the property that the bits in the bit stream are generated in the order of HVS importance. Information for sorting is calculated by using coefficients of lowest frequency band which are coded losslessly. Therefore, in the proposed method, no extra information to specify the scan order for higher frequency band is needed. So, this algorithm supports fully multirate image decoding.
Keywords:still image   wavelet   human visual system(HVS)   EZW algorithm
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