Hue Constrained Image Colorization in the RGB Space

Abstract : This work proposes a novel variational frame- work for exemplar-based image colorization in RGB while most of existing methods use a luminance-chro- minance space. Using directly these three RGB chan- nels, our model does not need any pre or post-pro- cessing step. We design a primal-dual like algorithm that solves the proposed variational approach. The constraint when colorizing a gray-scale image is to maintain its luminance. In our RGB model this constraint is added in the variational model. Its preservation requires introducing a novel projection scheme that takes care of the hue value (H) of the HSI color-space. The behavior of our algorithm is illustrated on numerous examples, and a qualitative comparison is made with state-of-the-art methods.
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Pré-publication, Document de travail
2014
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Fabien Pierre, Jean-François Aujol, Aurélie Bugeau, Vinh-Thong Ta. Hue Constrained Image Colorization in the RGB Space. 2014. 〈hal-00995724〉

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