L.M.P.A
Laboratoire de Mathématiques Pures et Appliquées
Joseph Liouville

Evenement du mardi 10 avril

  • Groupe de travail Approximation et analyse matricielle du 10 avril

    Karim Kreit (Université Caddi Ayad Marrakech)

    The total variation model has been introduced in image processing since $1992$ by Rudin, Osher and Fatemi (ROF). The (ROF) model eliminates noise from images and preserve the edges by solving a minimization problem related to a total variation energy.
    In this talk, we consider the problem of image restoration with total variation regularization. We transform the problem to a nonlinear constrained optimization in the dual form. We apply the conditional gradient (Frank-Wolfe) method to the dual total variation regularization, and we drive a new method for denoising image. The convergence of this method is proved. Finally we illustrate the effectiveness of our proposed method by some numerical examples.

    Informations : 14:30 - 15:00 Salle B014
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