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Chapitre D'ouvrage Année : 2020

Recent Approaches for Image Colorization

Résumé

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.
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Dates et versions

hal-02965137 , version 1 (13-10-2020)

Identifiants

Citer

Fabien Pierre, Jean-François Aujol. Recent Approaches for Image Colorization. Handbook of Mathematical Models and Algorithms in Computer Vision and Imaging, In press, ⟨10.1007/978-3-030-03009-4_55-1⟩. ⟨hal-02965137⟩
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