Title :
Information preserving image compression for archiving NMR images
Author :
Li, C.C. ; Gokmen, M. ; Hirschman, A.D. ; Wang, Y.
Author_Institution :
Dept. of Electr. Eng., Pittsburgh Univ., PA, USA
Abstract :
A result is presented on information-preserving compression of medical NMR (nuclear magnetic resonance) images for archiving purposes. Both Lynch-Davisson coding and linear predictive coding have been studied. For NMR images of 256×256×12 resolution, the Lynch-Davisson coding with a block size of 64, as applied to prediction error sequences in the Gray code bit planes of each image, gave an average compression ratio of 2.3:1 for fourteen images under test. The predictive coding with a third-order linear predictor and the Huffman encoding of the prediction error gave an average compression ratio of 3.1:1, while the maximum compression ratio achieved was 3.5:1
Keywords :
biomedical NMR; computerised picture processing; encoding; Gray code bit planes; Huffman encoding; Lynch-Davisson coding; biomedical NMR; computerised picture processing; encoding; image compression; information-preserving compression; linear predictive coding; prediction error sequences; Computed tomography; Image coding; Image reconstruction; Image resolution; Image storage; Linear predictive coding; Nuclear magnetic resonance; Radiology; Reflective binary codes; Spatial resolution;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28493
