Medical image compression with lossless regions of interest

被引：49

作者：

Strom, J ^{[1
]}

Cosman, PC ^{[1
]}

机构：

[1] LINKOPING UNIV,DEPT ELECT ENGN,S-58183 LINKOPING,SWEDEN

来源：

SIGNAL PROCESSING | 1997年 / 59卷 / 02期

基金：

美国国家科学基金会;

关键词：

region-of-interest compression; medical image compression; regionally lossless coding; radiology information systems;

D O I：

10.1016/S0165-1684(97)00044-3

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Many classes of images contain some spatial regions which are more important than other regions. Compression methods which are capable of delivering higher reconstruction quality for the important parts are attractive in this situation. For medical images, only a small portion of the image might be diagnostically useful, but the cost of a wrong interpretation is high. Algorithms which deliver lossless compression within the regions of interest, and lossy compression elsewhere in the image, might be the key to providing efficient and accurate image coding to the medical community. We present and compare several new algorithms for lossless region-of-interest (ROI) compression. One is based on lossless coding with the S-transform, and two are based on lossy wavelet zerotree coding together with either pixel-domain or transform-domain coding of the regional residual. We survey previous methods for region-based coding of medical images.

引用

页码：155 / 171

页数：17

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