Learning Adapted Dictionaries for Geometry and Texture Separation
Starck, Jean-Luc; Fadili, Jalal; Peyré, Gabriel (2007-09), Learning Adapted Dictionaries for Geometry and Texture Separation, SPIE Wavelets XII, 2007-08, San Diego, CA, Etats-Unis
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Communication / ConférenceLien vers un document non conservé dans cette base
http://hal.archives-ouvertes.fr/hal-00365601/en/Date
2007-09Titre du colloque
SPIE Wavelets XIIDate du colloque
2007-08Ville du colloque
San Diego, CAPays du colloque
Etats-UnisMétadonnées
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This article proposes a new method for image separation into a linear combination of morphological components. This method is applied to decompose an image into meaningful cartoon and textural layers and is used to solve more general inverse problems such as image inpainting. For each of these components, a dictionary is learned from a set of exemplar images. Each layer is characterized by a sparse expansion in the corresponding dictionary. The separation inverse problem is formalized within a variational framework as the optimization of an energy functional. The morphological component analysis algorithm allows to solve iteratively this optimization problem under sparsity-promoting penalties. Using adapted dictionaries learned from data allows to circumvent some difficulties faced by fixed dictionaries. Numerical results demonstrate that this adaptivity is indeed crucial to capture complex texture patterns.Mots-clés
total variation; wavelets; learning dictionary; sparsity; Image separationPublications associées
Affichage des éléments liés par titre et auteur.
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Fadili, Jalal; Starck, Jean-Luc; Peyré, Gabriel (2007) Communication / Conférence
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Starck, Jean-Luc; Fadili, Jalal; Peyré, Gabriel (2010) Article accepté pour publication ou publié
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Maurel, Pierre; Aujol, Jean-François; Peyré, Gabriel (2009) Communication / Conférence
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Aujol, Jean-François; Fadili, Jalal; Cohen, Laurent D.; Peyré, Gabriel (2014) Article accepté pour publication ou publié