DocumentCode
2745638
Title
A window-based Bayesian estimator for noise removal
Author
Schultz, Richard R. ; Stevenson, Robert L.
Author_Institution
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Volume
2
fYear
1994
fDate
3-5 Aug 1994
Firstpage
860
Abstract
A window-based Bayesian restoration filter is proposed which smooths noise and preserves edges. The filter estimates a sample value by optimizing a partial signal likelihood function, dependent upon a set of surrounding elements. Simulations confirm that a noisy image restored by the window-based filter compares favorably to an estimate computed using the complete observed image, even for small window sizes
Keywords
Bayes methods; filtering theory; image restoration; maximum likelihood estimation; noise; smoothing methods; edge preservation; image noise removal; noise smoothing; partial signal likelihood function; restoration filter; simulation; window-based Bayesian estimator; Bayesian methods; Computational modeling; Equations; Filters; Gaussian processes; Image reconstruction; Image restoration; Markov random fields; Nearest neighbor searches; Pixel; Signal restoration; Size control; Smoothing methods; Temperature;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1994., Proceedings of the 37th Midwest Symposium on
Conference_Location
Lafayette, LA
Print_ISBN
0-7803-2428-5
Type
conf
DOI
10.1109/MWSCAS.1994.518949
Filename
518949
Link To Document