Title :
Medical image compression using B-spline wavelet transform
Author :
Alirezaie, Javad ; Jernigan, M.E.
Author_Institution :
Dept. of Syst. Design Eng., Waterloo Univ., Ont., Canada
Abstract :
A lossless image compression technique, incorporating the cubic spline wavelet transform, predictive coding and arithmetic coding was developed for compression and reconstruction of magnetic resonance images. A compression ratio of 2.5:1 or coding rate of 3.1 bit per pixel (bpp), comparing favourably with other recently reported medical image compression is obtained
Keywords :
biomedical NMR; data compression; image coding; image reconstruction; medical image processing; splines (mathematics); wavelet transforms; B-spline wavelet transform; arithmetic coding; coding rate; compression ratio; lossless image compression technique; magnetic resonance images compression; magnetic resonance images reconstruction; medical diagnostic imaging; medical image compression; predictive coding; Arithmetic; Biomedical imaging; Costs; Image coding; Image reconstruction; Image storage; Magnetic resonance; Medical diagnostic imaging; Spline; Wavelet transforms;
Conference_Titel :
Engineering in Medicine and Biology Society, 1995., IEEE 17th Annual Conference
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2475-7
DOI :
10.1109/IEMBS.1995.575185
