Title :
Restoration of original image from deteriorated image by probabilistic image model
Author :
Karita, Yuji ; Tanaka, Toshiyuki
Author_Institution :
Dept. of Appl. Phys. & Physico-Inf., Keio Univ., Yokohama
Abstract :
The conventional noise removal methods are based on spatial filtering and frequency filtering. But these methods have problems associated with degradation of image along side the noise removal. In this study, we propose the method that formulates noise based on multi-dimension Gaussian distribution and restore original image from deteriorated image by Probabilistic inference based on Bayesian statistics. The effectiveness of the proposed method has been validated using benchmark images.
Keywords :
Bayes methods; Gaussian distribution; image restoration; probability; Bayesian statistics; deteriorated image; image restoration; multidimension Gaussian distribution; probabilistic image model; probabilistic inference; Bayesian methods; Filtering; Frequency; Gaussian distribution; Gaussian noise; Image restoration; Statistical distributions; Statistics; Wiener filter; Working environment noise; Bayesian statistics; Gaussian white noise; image restoration; maximum likelihood estimation;
Conference_Titel :
SICE Annual Conference, 2008
Conference_Location :
Tokyo
Print_ISBN :
978-4-907764-30-2
Electronic_ISBN :
978-4-907764-29-6
DOI :
10.1109/SICE.2008.4655196
