Medical image compression based on improved 4D-SPIHT algorithm

doi:10.3778/j.issn.1002-8331.2010.32.041

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (32): 147-151.DOI: 10.3778/j.issn.1002-8331.2010.32.041

• 图形、图像、模式识别 • Previous Articles Next Articles

Medical image compression based on improved 4D-SPIHT algorithm

ZHONG Wen-yan¹，YANG Feng¹，CHEN Yan-ping²

1.School of Biomedical Engineering，Southern Medical University，Guangzhou 510515，China
2.Department of Medical Imaging，Nanfang Hospital，Southern Medical University，Guangzhou 510515，China

Received:2010-05-26 Revised:2010-08-16 Online:2010-11-11 Published:2010-11-11
Contact: ZHONG Wen-yan

改进的4D-SPIHT医学图像无损压缩

钟文燕¹，杨丰¹，陈燕萍²

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

通讯作者: 钟文燕

Abstract

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.

Key words: 4D Set Partitioning in Hierarchical Tree（4D-SPIHT）, four dimensions wavelet transformation, medical image, lossless compression

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

CLC Number:

TP391.41

ZHONG Wen-yan¹，YANG Feng¹，CHEN Yan-ping². Medical image compression based on improved 4D-SPIHT algorithm[J]. Computer Engineering and Applications, 2010, 46(32): 147-151.

钟文燕¹，杨丰¹，陈燕萍². 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.

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Medical image compression based on improved 4D-SPIHT algorithm

改进的4D-SPIHT医学图像无损压缩

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