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Article Dans Une Revue Lecture Notes in Computer Science Année : 2007

A nonconvex model to remove multiplicative noise

Gilles Aubert
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Résumé

This paper deals with the denoising of SAR images. We draw our inspiration from the modeling of multiplicative speckle noise. By using a MAP estimator, we propose a functional whose minimizer corresponds to the denoised image we want to recover. Although the functional is not convex, we prove the existence of a minimizer. Then we study a semi-discrete version of the associated evolution problem, for which we derive existence and uniqueness results for the solution. We prove the convergence of this semi-discrete scheme. We conclude with some numerical results.

Dates et versions

hal-00202007 , version 1 (03-01-2008)

Identifiants

Citer

Gilles Aubert, Jean-François Aujol. A nonconvex model to remove multiplicative noise. Lecture Notes in Computer Science, 2007, Scale Space and Variational Methods in Computer Vision (4485), p. 68-79. ⟨10.1007/978-3-540-72823-8_7⟩. ⟨hal-00202007⟩
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