Selective Medical Image Compression using Wavelet Techniques

Abstract

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 different techniques based on wavelet transforms and demonstrate their good performance which is mainly due to the spatial locality of the wavelet transform domain.