DocumentCode :
2916605
Title :
L1 prior majorization in Bayesian image restoration
Author :
Vega, M. ; Molina, Rafael ; Katsaggelos, Aggelos K.
Author_Institution :
Dept. Cienc. de la Comput. e I. A., Univ. de Granada, Granada, Spain
fYear :
2009
fDate :
5-7 July 2009
Firstpage :
1
Lastpage :
6
Abstract :
Bayesian methods rely on image priors that encapsulate prior image knowledge and avoid the ill-posedness of image restoration problems. In this paper a new prior based on the l1 norm of vertical and horizontal first order differences of image pixel values is introduced and its parameters are estimated . The results obtained from its application studied and compared with the ones provided by other methods in the literature.
Keywords :
Bayes methods; image restoration; Bayesian methods; L1 prior majorization in; image pixel values; image restoration; Bayesian methods; Computer science; Contracts; Degradation; Gaussian noise; Image restoration; Parameter estimation; Pixel; Probability distribution; Remote sensing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing, 2009 16th International Conference on
Conference_Location :
Santorini-Hellas
Print_ISBN :
978-1-4244-3297-4
Electronic_ISBN :
978-1-4244-3298-1
Type :
conf
DOI :
10.1109/ICDSP.2009.5201084
Filename :
5201084
Link To Document :
بازگشت