Texture Reconstruction guided by a High-Resolution Patch
| hal.structure.identifier | Laboratoire de l'intégration, du matériau au système [IMS] | |
| dc.contributor.author | EL GHECHE, Mireille | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | AUJOL, Jean-François | |
| hal.structure.identifier | Laboratoire de l'intégration, du matériau au système [IMS] | |
| dc.contributor.author | BERTHOUMIEU, Yannick | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | DELEDALLE, Charles-Alban | |
| dc.date.accessioned | 2024-04-04T02:50:39Z | |
| dc.date.available | 2024-04-04T02:50:39Z | |
| dc.date.issued | 2017-02-01 | |
| dc.identifier.issn | 1057-7149 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/191929 | |
| dc.description.abstractEn | In this paper, we aim at super-resolving a low-resolution texture under the assumption that a high-resolution patch of the texture is available. To do so, we propose a variational method that combines two approaches, that are texture synthesis and image reconstruction. The resulting objective function holds a nonconvex energy that involves a quadratic distance to the low-resolution image, a histogram-based distance to the high-resolution patch, and a nonlocal regularization that links the missing pixels with the patch pixels. As for the histogram-based measure, we use a sum of Wasserstein distances between the histograms of some linear transformations of the textures. The resulting optimization problem is efficiently solved with a primal-dual proximal method. Experiments show that our method leads to a significant improvement, both visually and numerically, with respect to state-of-the-art algorithms for solving similar problems. | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers | |
| dc.subject.en | Super-Resolution | |
| dc.subject.en | Texture Synthesis | |
| dc.subject.en | Texture Reconstruction | |
| dc.subject.en | Wasserstein distance | |
| dc.subject.en | Histograms | |
| dc.subject.en | Proximal algorithms | |
| dc.title.en | Texture Reconstruction guided by a High-Resolution Patch | |
| dc.type | Article de revue | |
| dc.identifier.doi | 10.1109/TIP.2016.2627812 | |
| dc.subject.hal | Informatique [cs]/Synthèse d'image et réalité virtuelle [cs.GR] | |
| dc.subject.hal | Informatique [cs]/Traitement du signal et de l'image | |
| bordeaux.journal | IEEE Transactions on Image Processing | |
| bordeaux.page | 549-560 | |
| bordeaux.volume | 26 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.issue | 2 | |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01276582 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01276582v1 | |
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