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Transport optimal régularisé semi-déséquilibré pour la restauration d'images

Abstract : In this paper we consider the use of a penalty based on optimal transport in order to regularize inverse problems in imaging. The proposed approach is formulated in a variational setting and aims at promoting images whose patch distribution is close either to the one learned by a generative model, or to available uncorrupted patches. With the aid of numerical illustrations, we argue in favor of adopting an asymmetric form of unbalanced transport. We then provide details concerning the computation and the differentiation of the proposed penalty. Finally, we detail the application of our approach to a particular super-resolution setting: the image zoom completion problem.
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Preprints, Working Papers, ...
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Contributor : Cécile Louchet Connect in order to contact the contributor
Submitted on : Tuesday, March 29, 2022 - 3:52:15 PM
Last modification on : Thursday, March 31, 2022 - 4:08:57 AM


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  • HAL Id : hal-03623275, version 1


Simon Mignon, Bruno Galerne, Moncef Hidane, Cécile Louchet, Julien Mille. Transport optimal régularisé semi-déséquilibré pour la restauration d'images. 2022. ⟨hal-03623275⟩



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