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改进的4D-SPIHT医学图像无损压缩
引用本文:钟文燕,杨丰,陈燕萍. 改进的4D-SPIHT医学图像无损压缩[J]. 计算机工程与应用, 2010, 46(32): 147-151. DOI: 10.3778/j.issn.1002-8331.2010.32.041
作者姓名:钟文燕  杨丰  陈燕萍
作者单位:1.南方医科大学 生物医学工程学院,广州 510515 2.南方医科大学 南方医院医学影像科,广州 510515
摘    要:在3D-SPIHT编码的基础上,提出基于不对称小波树的分方向4D-SPIHT编码算法,通过构造4维不对称小波树结构,使得每一维上的小波分解级数可以灵活选择;根据小波树特点,将各小波频带按方向独立进行SPIHT编码,从而加快编码速度。实验结果表明,该算法能较有效地去除三维体数据之间的相关性,在不明显增加算法复杂度的基础上,提高压缩性能和编码效率。

关 键 词:4维多级树集合分裂算法(4D-SPIHT)  4维小波变换  医学图像  无损压缩  
收稿时间:2010-05-26
修稿时间:2010-8-16 

Medical image compression based on improved 4D-SPIHT algorithm
ZHONG Wen-yan,YANG Feng,CHEN Yan-ping. Medical image compression based on improved 4D-SPIHT algorithm[J]. Computer Engineering and Applications, 2010, 46(32): 147-151. DOI: 10.3778/j.issn.1002-8331.2010.32.041
Authors:ZHONG Wen-yan  YANG Feng  CHEN Yan-ping
Affiliation:1.School of Biomedical Engineering,Southern Medical University,Guangzhou 510515,China 2.Department of Medical Imaging,Nanfang Hospital,Southern Medical University,Guangzhou 510515,China
Abstract:The improved 4D-SPIHT algorithm based on the asymmetric wavelet tree is proposed.In the scheme,a 4D asymmetric wavelet tree is used,in which way different numbers of wavelet decompositions in each dimension can be chosed.Then the paper uses SPIHT to code wavelet coefficients band by band,which speeds up the encoding speed.Experiments show that the algorithm can remove the relevant in the 3D volume data,and increase the compression performance and coding efficiency with no significant complexity of the algorithm increased.
Keywords:4D Set Partitioning in Hierarchical Tree(4D-SPIHT); four dimensions wavelet transformation; medical image; loss-less compression;
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