DocumentCode
442791
Title
Approximations of posterior distributions in blind deconvolution using variational methods
Author
Mateos, Javier ; Molina, Rafael ; Katsaggelos, Aggelos K.
Author_Institution
Dept. de Ciencias de la Computacion e I.A., Granada Univ., Spain
Volume
2
fYear
2005
fDate
11-14 Sept. 2005
Abstract
In this paper the blind deconvolution problem is formulated using the variational framework. With its use approximations of the involved probability distributions are developed resulting in two algorithms for the estimation of the posterior distributions of the hyperparameters, the blur, and the original image. The performance of the two proposed restoration algorithms is demonstrated experimentally.
Keywords
deconvolution; image resolution; image restoration; parameter estimation; statistical distributions; variational techniques; blind deconvolution; hyperparameters; posterior distributions approximations; probability distributions; restoration algorithms; variational methods; Bayesian methods; Contracts; Convolution; Deconvolution; Degradation; Gaussian distribution; Gaussian noise; Image restoration; Laplace equations; Probability distribution;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2005. ICIP 2005. IEEE International Conference on
Print_ISBN
0-7803-9134-9
Type
conf
DOI
10.1109/ICIP.2005.1530169
Filename
1530169
Link To Document