Abstract : This paper deals with the problem of image colorization. A model including total variation regularization is proposed. Our approach colorizes directly the three RGB channels, while most existing methods were only focusing on the two chrominance channels. By using the three channels, our approach is able to better preserve color consistency. Our model is non convex, but we propose an efficient primal-dual like algorithm to compute a local minimizer. Numerical examples illustrate the good behavior of our algorithm with respect to state-of-the-art methods.
https://hal.archives-ouvertes.fr/hal-01019627
Contributeur : Fabien Pierre <>
Soumis le : lundi 7 juillet 2014 - 11:50:11
Dernière modification le : lundi 22 septembre 2014 - 15:08:24
Document(s) archivé(s) le : mardi 7 octobre 2014 - 12:16:40
Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta. EXEMPLAR-BASED COLORIZATION IN RGB COLOR SPACE. Internationnal Conference on Image Processing, Oct 2014, Paris, France. pp.1-5, 2014. <hal-01019627>
