NDLI: Bayesian entropy estimation: Applications in robust image filtering

Content Provider	IEEE Xplore Digital Library
Author	de la Rosa Vargas, J.I. Villa, J. Gonzalez, E. Gutierrez, O. de la Rosa, E.
Copyright Year	2012
Description	Author affiliation: Universidad Autónoma de Zacatecas - Unidad Académica de Ingeniería Eléctrica, Lab. de Procesamiento Digital de Señales, Av. López Velarde No. 821, Col. Centro, C.P. 98068, Zacatecas, Mexico (de la Rosa Vargas, J.I.; Villa, J.; Gonzalez, E.; Gutierrez, O.; de la Rosa, E.)
Abstract	We introduce a new approach for image filtering in a Bayesian framework, in this case the probability density function (pdf) of the likelihood function is approximated using the concept of non-parametric or kernel estimation. The method is also based on generalized Gaussian Markov random fields (GGMRF), a class of Markov random fields which are used as prior information into the Bayesian rule, which principal objective is to eliminate those effects caused by the excessive smoothness on the reconstruction process of images which are rich in contours or edges. Accordingly to the hypothesis made for the present work, it is assumed a limited knowledge of the noise pdf, so the idea is to use a non-parametric estimator to estimate such a pdf and then apply the entropy to construct the cost function for the likelihood term. The previous idea leads to the construction of Maximum a posteriori (MAP) robust estimators, since the real systems are always exposed to continuous perturbations of unknown nature. Some promising results of three new MAP entropy estimators (MAPEE) for image filtering are presented, together with some partial concluding remarks.
Starting Page	183
Ending Page	189
File Size	1130057
Page Count	7
File Format	PDF
ISBN	9781457713262
e-ISBN	9781457713255
DOI	10.1109/CONIELECOMP.2012.6189906
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-02-27
Publisher Place	Mexico
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Kernel Noise Entropy Estimation Markov processes Bandwidth Bayesian methods
Content Type	Text
Resource Type	Article

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