Title :
A progressive scheme for biomedical image compression using variable order wavelets transforms and HVS characteristics
Author :
Bouziane, M.B. ; Noumeir, R. ; Gargour, C.S.
Author_Institution :
Ecole de Technol. Superieure, Quebec Univ., Montreal, Que., Canada
Abstract :
We propose a progressive compression scheme for medical images. Our approach is based on subband coding by wavelet filters and uses a quantification method based on the human vision characteristics. Each step of the proposed compression scheme has been optimized and results are presented for a CT brain image
Keywords :
channel bank filters; computerised tomography; data compression; filtering theory; image coding; medical image processing; transform coding; wavelet transforms; CT brain image; HVS characteristics; biomedical image compression; filter bank; human vision characteristics; human vision system; optimization; progressive compression; quantification method; subband coding; variable order wavelets transforms; wavelet filters; Biomedical imaging; Brain; Computed tomography; Filter bank; Humans; Image coding; Image resolution; Pixel; Wavelet packets; Wavelet transforms;
Conference_Titel :
Electrical and Computer Engineering, 2001. Canadian Conference on
Conference_Location :
Toronto, Ont.
Print_ISBN :
0-7803-6715-4
DOI :
10.1109/CCECE.2001.933569
