Recent Approaches for Image Colorization
| hal.structure.identifier | Augmentation visuelle d'environnements complexes [MAGRIT-POST] | |
| hal.structure.identifier | Visual Augmentation of Complex Environments [MAGRIT] | |
| dc.contributor.author | PIERRE, Fabien | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | AUJOL, Jean-François | |
| dc.date | 2020 | |
| dc.date.accessioned | 2024-04-04T02:49:16Z | |
| dc.date.available | 2024-04-04T02:49:16Z | |
| dc.date.issued | 2020 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/191807 | |
| dc.description.abstractEn | In the last years, image and video colorization has been considered from many points of view. The technique consists in the addition of a color component to a gray-scale image. This operation needs additional priors which can be given by manual intervention of the user from an example image or be extracted from a large dataset of color images. A very large variety of approaches has been used to solve this problem, like PDE models, non-local methods, variational frameworks, learning approaches, etc. In this chapter, we aim at providing a general overview of state-of-the-art approaches with a focus on few representative methods. Moreover, some recent techniques from the different types of priors (manual, exemplar-based, dataset-based) are explained and compared. The organization of the chapter aims at describing the evolution of the techniques in relation to each other. A focus on some efficient strategies is proposed for each kind of methodology. | |
| 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.source.title | Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging | |
| dc.title.en | Recent Approaches for Image Colorization | |
| dc.type | Chapitre d'ouvrage | |
| dc.identifier.doi | 10.1007/978-3-030-03009-4_55-1 | |
| dc.subject.hal | Informatique [cs]/Traitement des images | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.title.proceeding | Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging | |
| hal.identifier | hal-02965137 | |
| hal.version | 1 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-02965137v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Handbook%20of%20Mathematical%20Models%20and%20Algorithms%20in%20Computer%20Vision%20and%20Imaging&rft.date=2020&rft.au=PIERRE,%20Fabien&AUJOL,%20Jean-Fran%C3%A7ois&rft.genre=unknown |
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