摘要
本文提出了一种基于多阈值与嵌入零树小波的新图像压缩算法(简称为MEZW),该算法能够通过以下3项措施提高EZW算法工作效率:(1)通过定义多阈值以完善逐次逼近量化过程;(2)通过修改嵌入编码策略以消除编码冗余;(3)通过采纳关联模型以提高算术编码效率。
In this paper, a novel and simple image compression based on multi-threshold and embedded zerotree wavelet(MEZW)is presented,in which we scan only significant subbands using the significant test with the multi-threshold.Since it is not necessary to encode the insignificant subbands having no significant coefficients during the successive approximation quantization process,we reduce significantly the redundancy generated by scanning higher subbands.The experiment results show that the new image compression scheme(MEZW)performs better than that of EZW and SPIHT in the aspects of compression ratio,image quality and coding efficiency.
出处
《通信学报》
EI
CSCD
北大核心
2001年第12期88-93,共6页
Journal on Communications
基金
国家自然科学基金资助项目(69974032)
关键词
图像压缩
嵌入零树小波
多阈值
算法
image compression
embedded zerotree wavelet
multi-threshold
successive approxi- mation quantization
context modeling
