Selective medical image compression techniques for telemedical and archiving applications

被引：23

作者：

Bruckmann, A ^{[1
]}

Uhl, A ^{[1
]}

机构：

[1] Res Inst Softwaretechnol, A-5020 Salzburg, Austria

来源：

COMPUTERS IN BIOLOGY AND MEDICINE | 2000年 / 30卷 / 03期

基金：

奥地利科学基金会;

关键词：

wavelet image compression; region of interest coding; selective image compression; JPEG;

D O I：

10.1016/S0010-4825(00)00004-4

中图分类号：

Q [生物科学];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Selective Image Compression (SeLIC) is a compression technique where explicitly defined regions of interest (RoI) are compressed in a lossless way whereas image regions containing unimportant information are compressed in a lossy manner. Such techniques are of great interest in telemedicine or medical imaging applications with large storage requirements. In this paper we introduce and compare techniques with different functionalities. Moreover, we investigate the impact of using wavelet transforms and JPEG as underlying lossy compression algorithm. (C) 2000 Elsevier Science Ltd. All rights reserved.

引用

页码：153 / 169

页数：17

共 52 条

[1]

ALDROUBI A, 1996, WAVELETS MED BIOL

[2]

[Anonymous], 1993, JPEG still image compression standard

[3] Image coding using wavelet transform [J].