Title :
Kullback-Leibler divergence and Markov random fields for speckled image restoration
Author :
Bratsolis, Emnianuel ; Sigelle, Marc
Author_Institution :
Dept. Traitement du Signal et des Images, Ecole Nat. Superieure des Telecommun., Paris, France
Abstract :
In this paper we describe an approximation of speckled image observation (attachment to data) laws by generalized Gaussian pdfs. We use Kullback-Leibler (KL) divergence (entropy) for this purpose. This leads to a mathematical model which can be useful for speckled image restoration and for related hyperparameter estimation.
Keywords :
Markov processes; entropy; image restoration; parameter estimation; Kullback-Leibler divergence; Markov random field; entropy; generalized Gaussian pdf; hyperparameter estimation; image observation; speckled image restoration; Bismuth; Context modeling; Entropy; Equations; Image restoration; Markov random fields; Mathematical model; Speckle; Stochastic processes;
Conference_Titel :
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN :
0-7803-7946-2
DOI :
10.1109/ISSPA.2003.1224731
