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Conference papers

Exemplar-based colorization in RGB color space

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.
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Contributor : Fabien Pierre Connect in order to contact the contributor
Submitted on : Monday, July 7, 2014 - 11:50:11 AM
Last modification on : Tuesday, March 8, 2022 - 9:26:04 AM
Long-term archiving on: : Tuesday, October 7, 2014 - 12:16:40 PM


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  • HAL Id : hal-01019627, version 1



Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Nicolas Papadakis, Vinh-Thong Ta. Exemplar-based colorization in RGB color space. IEEE Internationnal Conference on Image Processing (ICIP'14), Oct 2014, Paris, France. pp.1-5. ⟨hal-01019627⟩



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