MAP entropy estimation: applications in robust image filtering

MAP entropy estimation: applications in robust image filtering

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 based on the generalized Gaussian Markov random fields (GGMR...

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Bibliographic Details
Main Authors: de la Rosa J. I., Villa-Hernandez J., de la Rosa M. E., Gonzalez-Ramirez E., Gutierrez O., Escalante N., Ivanov R., Fleury G.
Format: Article
Language:English
Published: EDP Sciences 2013-01-01
Series:Journal of the European Optical Society-Rapid Publications
Subjects:
digital image processing
image recognition
algorithms and filters
image reconstruction-restoration
inverse problems
Online Access:https://jeos.edpsciences.org/articles/jeos/pdf/2013/01/jeos20130813047.pdf

Internet

https://jeos.edpsciences.org/articles/jeos/pdf/2013/01/jeos20130813047.pdf

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