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用于医学图像压缩的离散小波变换-离散余弦变换混合方案

DWT-DCT hybrid scheme for medical image compression.

作者信息

Singh S, Kumar V, Verma H K

机构信息

Electrical Engineering Department, Indian Institute of Technology, Roorkee, Uttaranchal, 247 667, India.

出版信息

J Med Eng Technol. 2007 Mar-Apr;31(2):109-22. doi: 10.1080/03091900500412650.

Abstract

With the development of communication technology the applications and services of health telemetics are growing. In view of the increasingly important role played by digital medical imaging in modern health care, it is necessary for large amount of image data to be economically stored and/or transmitted. There is a need for the development of image compression systems that combine high compression ratio with preservation of critical information. During the past decade wavelets have been a significant development in the field of image compression. In this paper, a hybrid scheme using both discrete wavelet transform (DWT) and discrete cosine transform (DCT) for medical image compression is presented. DCT is applied to the DWT details, which generally have zero mean and small variance, thereby achieving better compression than obtained from either technique alone. The results of the hybrid scheme are compared with JPEG and set partitioning in hierarchical trees (SPIHT) coder and it is found that the performance of the proposed scheme is better.

摘要

随着通信技术的发展,健康远程医疗的应用和服务不断增加。鉴于数字医学成像在现代医疗保健中发挥着越来越重要的作用,大量图像数据需要以经济的方式存储和/或传输。因此,有必要开发一种既能实现高压缩率又能保留关键信息的图像压缩系统。在过去十年中,小波技术在图像压缩领域取得了重大进展。本文提出了一种将离散小波变换(DWT)和离散余弦变换(DCT)相结合的混合方案用于医学图像压缩。DCT应用于通常具有零均值和小方差的DWT细节部分,从而实现比单独使用任何一种技术更好的压缩效果。将该混合方案的结果与JPEG和分层树集分割(SPIHT)编码器进行了比较,发现所提方案的性能更好。

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