Recent Approaches for Image Colorization
PIERRE, Fabien
Augmentation visuelle d'environnements complexes [MAGRIT-POST]
Visual Augmentation of Complex Environments [MAGRIT]
Augmentation visuelle d'environnements complexes [MAGRIT-POST]
Visual Augmentation of Complex Environments [MAGRIT]
PIERRE, Fabien
Augmentation visuelle d'environnements complexes [MAGRIT-POST]
Visual Augmentation of Complex Environments [MAGRIT]
< Reduce
Augmentation visuelle d'environnements complexes [MAGRIT-POST]
Visual Augmentation of Complex Environments [MAGRIT]
Language
en
Chapitre d'ouvrage
This item was published in
Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging. 2020
Date
2020English Abstract
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 ...Read more >
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.Read less <
ANR Project
Repenser la post-production d'archives avec des méthodes à patch, variationnelles et par apprentissage - ANR-19-CE23-0027
Origin
Hal imported