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Exemplar-based colorization in RGB color space

Authors :
Jean-François Aujol
Vinh-Thong Ta
Aurélie Bugeau
Nicolas Papadakis
Fabien Pierre
Institut de Mathématiques de Bordeaux (IMB)
Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire Bordelais de Recherche en Informatique (LaBRI)
Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)
CPU
IMB
LaBRI
Université de Bordeaux
Pierre, Fabien
Source :
ICIP, Internationnal Conference on Image Processing (ICIP), Internationnal Conference on Image Processing (ICIP), Oct 2014, Paris, France. pp.1-5
Publication Year :
2014
Publisher :
IEEE, 2014.

Abstract

International audience; 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.

Details

Database :
OpenAIRE
Journal :
2014 IEEE International Conference on Image Processing (ICIP)
Accession number :
edsair.doi.dedup.....5649c6106123c1e64740489faf580da3
Full Text :
https://doi.org/10.1109/icip.2014.7025125