DocumentCode
3161636
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
fYear
2008
fDate
20-22 Aug. 2008
Firstpage
3096
Lastpage
3100
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;
fLanguage
English
Publisher
ieee
Conference_Titel
SICE Annual Conference, 2008
Conference_Location
Tokyo
Print_ISBN
978-4-907764-30-2
Electronic_ISBN
978-4-907764-29-6
Type
conf
DOI
10.1109/SICE.2008.4655196
Filename
4655196
Link To Document