Title :
HINT based multiresolution reversible image compression
Author :
Linney, Norma C. ; Gregson, Peter H.
Author_Institution :
Dept. of Electr. Eng., Tech. Univ. Nova Scotia, Halifax, NS, Canada
Abstract :
A multiresolution lossless image compression technique called hierarchical interpolation (HINT) has been shown to be very effective for compression of medical images. The HINT algorithm has an aliasing problem with textures having spatial frequencies greater than the Nyquist limit imposed by its subsampling. One method of addressing the aliasing problem is to divide the image into regions and make the blocksize used in each region dependent on the frequency content of that region
Keywords :
biomedical NMR; data compression; diagnostic radiography; entropy codes; image coding; image resolution; image segmentation; image texture; interpolation; medical image processing; HINT; MR images; Nyquist limit; X-ray images; aliasing problem; blocksize; entropy; frequency content; hierarchical interpolation; image regions; medical image compression; multiresolution lossless image compression technique; spatial frequencies; subsampling; textures; Biomedical X-ray imaging; Biomedical magnetic resonance imaging; Biomedical signal processing; Data compression; Entropy codes; Image coding; Image region analysis; Image resolution; Image texture analysis; Interpolation;
Conference_Titel :
Electrical and Computer Engineering, 1994. Conference Proceedings. 1994 Canadian Conference on
Conference_Location :
Halifax, NS
Print_ISBN :
0-7803-2416-1
DOI :
10.1109/CCECE.1994.405818
