Optimisation jointe de la chaîne codage/débruitage pour les images satellite

Mikael Carlavan 1 Laure Blanc-Féraud 1 Marc Antonini 2 Carole Thiebaut 3 Christophe Latry 3 Yves Bobichon 4
1 MORPHEME - Morphologie et Images
CRISAM - Inria Sophia Antipolis - Méditerranée , IBV - Institut de Biologie Valrose : U1091, Laboratoire I3S - SIS - Signal, Images et Systèmes
Abstract : In this paper, we propose to study the problem of optimal noisy source coding/denoising. This problem can be formulated as an optimization problem where the criterion to minimize is the global distortion, that is the error between the noise-free image and the denoised image. This problem is challenging since a global optimization is usually difficult to perform as the global fidelity criterion needs to be optimized in the same time over the sets of both coding and denoising parameters. We show here how to express the global distortion in closed-form and we present an algorithm to minimize this distortion with respect to these parameters. We show results of this joint optimization algorithm on classical test images and on a high dynamic range image, visually and in a rate-distortion sense.
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https://hal.inria.fr/hal-00920794
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Submitted on : Thursday, December 19, 2013 - 11:05:11 AM
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Mikael Carlavan, Laure Blanc-Féraud, Marc Antonini, Carole Thiebaut, Christophe Latry, et al.. Optimisation jointe de la chaîne codage/débruitage pour les images satellite. GRETSI, Sep 2013, Brest, France. ⟨hal-00920794⟩

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