DocumentCode :
2750859
Title :
Uuinformation-theoretic reconstruction of moment-coded grey-scale images
Author :
Papademetriou, Rallis C. ; Karras, Dimitris A.
Author_Institution :
Dept. of Electr. & Electron. Eng., Portsmouth Univ., UK
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
2119
Abstract :
The information-theoretic method of maximum entropy (ME) is applied to the problem of reconstructing a grey-scale image from a finite set of its geometric moments (GMs). Simulation results, using medical images, demonstrate the superiority of the ME method, with almost threefold compression ratios achieved, over the Legendre moments (LMs) approach
Keywords :
image reconstruction; maximum entropy methods; medical image processing; ME method; compression ratio; geometric moments; information-theoretic method; maximum entropy; medical images; moment-coded grey-scale images; uuinformation-theoretic reconstruction; Biomedical imaging; Entropy; Image coding; Image recognition; Image reconstruction; Image segmentation; Medical simulation; Pattern matching; Pattern recognition; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing Proceedings, 2000. WCCC-ICSP 2000. 5th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-5747-7
Type :
conf
DOI :
10.1109/ICOSP.2000.893523
Filename :
893523
Link To Document :
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