基于SPIHT和分类比特编码的无损图像压缩

计算机工程与应用 ›› 2007, Vol. 43 ›› Issue (28): 47-50.

基于SPIHT和分类比特编码的无损图像压缩

朱国民¹,张明锋²

1.上海第二军医大学医学信息教研室,上海 200433
2.复旦大学电子工程系,上海 200433

收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2007-10-01 发布日期:2007-10-01
通讯作者: 朱国民

Lossless image compression using SPIHT and bit plane context-based coding context-based coding

ZHU Guo-ming¹,ZHANG Ming-feng²

1.Department of Medical Information,the Second Military Medical University,Shanghai 200433,China
2.Department of Electronic Engineering,Fudan University,Shanghai 200433,China

Received:1900-01-01 Revised:1900-01-01 Online:2007-10-01 Published:2007-10-01
Contact: ZHU Guo-ming

摘要/Abstract

摘要： 在整数小波变换的基础上提出了一种基于SPIHT分类比特平面上下文编码的无损图像压缩算法,和其他方法比较,把变换后的系数分成符号模板、高位比特位、低位比特位三类,对高位比特位的系数用SPHIT算法进行编码,而符号模板和低位比特位用基于上下文的算术编码,在低位比特位的上下文编码中不仅考虑了同一位平面的相邻位置相关的上下文,也考虑位平面之间的上下文。实验表明,提出的方法具有较好的压缩效果。

关键词: 等级树集合算法, 无损JPEG, 基于上下文内容编码

Abstract: A lossless image compression algorithm based on SPIHT and partitioned bit-plane context-based coding is proposed in this paper.The proposed schemes partition the wavelet coefficients of image into three different parts：the sign model,high bit-planes and low bit-planes.SPIHT is used to code the high bit-planes.Context based entropy coding is used to code the sign model and low bit-planes.When coding the low bit-planes,not only the context inner the bit-planes but also the context between the bit-planes is used.Experiment results show that the proposed method has better compression performance.

Key words: SPIHT, JPEG-LS, CONTEXT CODING

朱国民¹,张明锋². 基于SPIHT和分类比特编码的无损图像压缩[J]. 计算机工程与应用, 2007, 43(28): 47-50.

ZHU Guo-ming¹,ZHANG Ming-feng². Lossless image compression using SPIHT and bit plane context-based coding context-based coding [J]. Computer Engineering and Applications, 2007, 43(28): 47-50.