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A variational approach to removing multiplicative noise. (English) Zbl 1151.68713

Summary: This paper focuses on the problem of multiplicative noise removal. We draw our inspiration from the modeling of speckle noise. By using a MAP estimator, we can derive 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 and we show the capability of our model on some numerical examples. We study the associated evolution problem, for which we derive existence and uniqueness results for the solution. We prove the convergence of an implicit scheme to compute the solution.

MSC:

68U10 Computing methodologies for image processing
94A08 Image processing (compression, reconstruction, etc.) in information and communication theory
49J40 Variational inequalities
35A15 Variational methods applied to PDEs
35B45 A priori estimates in context of PDEs
35B50 Maximum principles in context of PDEs
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