Exemplar-based colorization in RGB color space

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...

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Bibliographic Details
Published in2014 IEEE International Conference on Image Processing (ICIP) pp. 625 - 629
Main Authors Pierre, Fabien, Aujol, Jean-Francois, Bugeau, Aurelie, Papadakis, Nicolas, Vinh-Thong Ta
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2014
Subjects
Color
Colorization
Gray-scale
Image color analysis
Image segmentation
Labeling
Manuals
Minimization
optimization
patches
total variation
variational methods
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Summary: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.
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2014.7025125