Selective medical image compression techniques for telemedical and archiving applications

Selective Image Compression (SeLIC) is a compression technique where explic itly defined regions of interest (RoI) are compressed in a lossless way whe reas image regions containing unimportant information are compressed in a l ossy manner. Such techniques are of great interest in telemedicine or medic al imaging applications with large storage requirements. In this paper we i ntroduce and compare techniques with different functionalities. Moreover, w e investigate the impact of using wavelet transforms and JPEG as underlying lossy compression algorithm. (C) 2000 Elsevier Science Ltd. All rights res erved.