Variational Osmosis for Non-linear Image Fusion
| hal.structure.identifier | University of Cambridge [UK] [CAM] | |
| dc.contributor.author | PARISOTTO, Simone | |
| hal.structure.identifier | Morphologie et Images [MORPHEME] | |
| dc.contributor.author | CALATRONI, Luca | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| dc.contributor.author | BUGEAU, Aurélie | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | PAPADAKIS, Nicolas | |
| hal.structure.identifier | University of Cambridge [UK] [CAM] | |
| dc.contributor.author | SCHÖNLIEB, Carola-Bibiane | |
| dc.date.accessioned | 2024-04-04T02:59:31Z | |
| dc.date.available | 2024-04-04T02:59:31Z | |
| dc.date.issued | 2020 | |
| dc.identifier.issn | 1057-7149 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/192747 | |
| dc.description.abstractEn | We propose a new variational model for nonlinear image fusion. Our approach incorporates the osmosis model proposed in Vogel et al. (2013) and Weickert et al. (2013) as an energy term in a variational model. The osmosis energy is known to realize visually plausible image data fusion. As a consequence, our method is invariant to multiplicative brightness changes. On the practical side, it requires minimal supervision and parameter tuning and can encode prior information on the structure of the images to be fused. We develop a primal-dual algorithm for solving this new image fusion model and we apply the resulting minimisation scheme to multi-modal image fusion for face fusion, colour transfer and some cultural heritage conservation challenges. Visual comparison to state-of-the-art proves the quality and flexibility of our method. | |
| dc.description.sponsorship | Generalized Optimal Transport Models for Image processing - ANR-16-CE33-0010 | |
| dc.description.sponsorship | Repenser la post-production d'archives avec des méthodes à patch, variationnelles et par apprentissage - ANR-19-CE23-0027 | |
| dc.language.iso | en | |
| dc.publisher | Institute of Electrical and Electronics Engineers | |
| dc.subject.en | Image fusion | |
| dc.subject.en | Osmosis filtering | |
| dc.subject.en | Cultural heritage imaging | |
| dc.subject.en | Primal-dual algorithm | |
| dc.subject.en | Non-convex optimisation | |
| dc.title.en | Variational Osmosis for Non-linear Image Fusion | |
| dc.type | Article de revue | |
| dc.subject.hal | Informatique [cs]/Traitement du signal et de l'image | |
| dc.identifier.arxiv | 1910.02012 | |
| dc.description.sponsorshipEurope | Nonlocal Methods for Arbitrary Data Sources | |
| bordeaux.journal | IEEE Transactions on Image Processing | |
| bordeaux.page | 5507-5516 | |
| bordeaux.volume | 29 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-02314972 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02314972v1 | |
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