Title :
Efficient reconstruction of moment-coded noisy medical images using maximum entropy
Author :
Karras, Dimitrios A.
Author_Institution :
Autom. Dept., Hellenic Open Univ., Athens, Greece
Abstract :
The information-theoretic method of maximum entropy (ME) is applied in a novel way to the problem of reconstructing noisy endoscopic grey-scale images from a finite set of its geometric moments (GMs). Simulation results, using representative medical images from endoscopic video sequences acquired during colonoscopy examinations, demonstrate the superiority of the ME method, with almost threefold compression ratios achieved, over the Legendre moments (LMs) approach.
Keywords :
Gray codes; biomedical optical imaging; data compression; endoscopes; image reconstruction; image sequences; maximum entropy methods; medical image processing; video coding; colonoscopy examinations; endoscopic video sequences; geometric moments; image compression ratios; image reconstruction; information-theoretic method; maximum entropy method; moment-coded noisy endoscopic grey-scale images; Biomedical imaging; Colonoscopy; Entropy; Image coding; Image reconstruction; Image segmentation; Medical simulation; Signal to noise ratio; Solid modeling; Video sequences;
Conference_Titel :
Imaging Systems and Techniques, 2005. IEEE International Workshop on
Print_ISBN :
0-7803-8922-0
DOI :
10.1109/IST.2005.1594540
