Selective Medical Image Compression using Wavelet Techniques
Alfred Bruckmann, Andreas Uhl · 1998
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. Keywords: wavelet image compression, region of interest coding, selective image compression 1 Introduction Wavelet-based image processing methods have gained much attention in the biomedical imaging community. Applications range from pure biomedical image processing techniques such as noise reduction, image enhancement, and detection of microcalcifications in mammograms to computed tomography (CT), magnetic resonance imaging (MRI), and...