A Nonlinear Entropic Variational Model for Image FilteringReport as inadecuate

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* Corresponding author 1 CIISE - Concordia Institute for Information Systems Engineering 2 Department of Electrical and Computer Engineering Raleigh 3 ARIANA - Inverse problems in earth monitoring CRISAM - Inria Sophia Antipolis - Méditerranée , SIS - Signal, Images et Systèmes

Abstract : We propose an information-theoretic variational filter for image denoising. It is a result of minimizing a functional subject to some noise constraints, and takes a hybrid form of a negentropy variational integral for small gradient magnitudes and a total variational integral for large gradient magnitudes. The core idea behind this approach is to use geometric insight in helping to construct regularizing functionals and avoiding a subjective choice of a prior in maximum a posteriori estimation. Illustrative experimental results demonstrate a much improved performance of the approach in the presence of Gaussian and heavy-tailed noise.

Author: A Ben Hamza - Hamid Krim - Josiane Zerubia -

Source: https://hal.archives-ouvertes.fr/


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