Title :
Image restoration using quantum fluctuation
Author_Institution :
Dept. of Phys., Tokyo Inst. of Technol., Japan
Abstract :
Quantum fluctuation is introduced into the Markov random field (MRF) model for image restoration in the context of a Bayesian approach. We investigate the dependence of the quantum fluctuation on the quality of BW image restoration by making use of statistical mechanics. We find that the maximum posterior marginal (MPM) estimate based on the quantum fluctuation gives a fine restoration in comparison with the maximum a posterior (MAP) estimate or the thermal fluctuation-based MPM estimate
Keywords :
Bayes methods; Markov processes; image restoration; maximum likelihood estimation; statistical mechanics; Bayesian approach; Markov random field; image quality; image restoration; maximum posterior marginal estimate; quantum fluctuation; statistical mechanics; Fluctuations; Image restoration;
Conference_Titel :
Image Analysis and Processing, 1999. Proceedings. International Conference on
Conference_Location :
Venice
Print_ISBN :
0-7695-0040-4
DOI :
10.1109/ICIAP.1999.797583
