一种高效的医学图像压缩方案。

An efficient medical image compression scheme.

作者信息

Li Xiaofeng, Shen Yi, Ma Jiachen

机构信息

Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, 150001, China.

出版信息

Conf Proc IEEE Eng Med Biol Soc. 2005;2005:3437-9. doi: 10.1109/IEMBS.2005.1617217.

DOI:10.1109/IEMBS.2005.1617217

PMID:17280962

Abstract

In this paper, a fast lossless compression scheme is presented for the medical image. This scheme consists of two stages. In the first stage, a Differential Pulse Code Modulation (DPCM) is used to decorrelate the raw image data, therefore increasing the compressibility of the medical image. In the second stage, an effective scheme based on the Huffman coding method is developed to encode the residual image. This newly proposed scheme could reduce the cost for the Huffman coding table while achieving high compression ratio. With this algorithm, a compression ratio higher than that of the lossless JPEG method for image can be obtained. At the same time, this method is quicker than the lossless JPEG2000. In other words, the newly proposed algorithm provides a good means for lossless medical image compression.

摘要

本文提出了一种针对医学图像的快速无损压缩方案。该方案由两个阶段组成。在第一阶段，使用差分脉冲编码调制（DPCM）对原始图像数据进行去相关处理，从而提高医学图像的可压缩性。在第二阶段，开发了一种基于哈夫曼编码方法的有效方案对残差图像进行编码。这种新提出的方案在实现高压缩率的同时，可以降低哈夫曼编码表的成本。使用该算法，可以获得比无损JPEG图像方法更高的压缩率。同时，该方法比无损JPEG2000更快。换句话说，新提出的算法为无损医学图像压缩提供了一种良好的手段。