@inproceedings{fc0915b25e0943cfa53184e88fcc0f55,
title = "Generalized Gaussian Markov Random Field image restoration using variational distribution approximation",
abstract = "In this paper we propose novel algorithms for image restoration and parameter estimation with a Generalized Gaussian Markov Random Field (GGMRF) prior utilizing variational distribution approximation. The restored image and the unknown hyperparameters for both the image prior and the image degradation noise are simultaneously estimated within a hierarchical Bayesian framework. We develop two algorithms resulting from this formulation which provide approximations to the posterior distributions of the latent variables. Experimental results are provided to demonstrate the performance of the algorithms.",
keywords = "Bayesian methods, Generalized gaussian Markov random fields, Image restoration, Parameter estimation, Variational methods",
author = "Babacan, {S. Derin} and Rafael Molina and Katsaggelos, {Aggelos K.}",
year = "2008",
doi = "10.1109/ICASSP.2008.4517847",
language = "English (US)",
isbn = "1424414849",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
pages = "1265--1268",
booktitle = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP",
note = "2008 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP ; Conference date: 31-03-2008 Through 04-04-2008",
}