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