PIERRE, Fabien; AUJOL, Jean-François; BUGEAU, Aurélie; TA, Vinh-Thong

doi:10.1007/978-3-319-18461-6_33

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PIERRE, Fabien
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Institut de Mathématiques de Bordeaux [IMB]

AUJOL, Jean-François
Institut de Mathématiques de Bordeaux [IMB]

BUGEAU, Aurélie
Laboratoire Bordelais de Recherche en Informatique [LaBRI]

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Scale-Space and Variational Method in Computer Vision, 2015-06-01, Lège Cap-Ferret.. 2015

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This paper is concerned with a problem arising when editing color images, namely the Luminance-Hue Specification. This problem often occurs when converting an edited image in a given color-space to RGB. Indeed, the colors often get out of the standard range of the RGB space which is commonly used by most of display hardwares. Simple truncations lead to inconsistency in the hue and luminance of the edited image. We formalize and describe this problem from a geometrical point of view. A fast algorithm to solve the considered problem is given. We next focus on its application to image colorization in the RGB color-space while most of the methods use other ones. Using directly the three RGB channels, our model avoids artifact effects which appear with other color-spaces. Finally a variational model that regularizes color images while dealing with Luminance-Hue Specification problem is proposed.< Réduire

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Color

Luminance-Hue Specification

Color-spaces

Colorization

Total Variation

Optimization

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Luminance-Hue Specification in the RGB Space

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