FITSCHEN, Jan Henrik; NIKOLOVA, Mila; PIERRE, Fabien; STEIDL, Gabriele

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FITSCHEN, Jan Henrik
University of Kaiserslautern [Kaiserslautern]

NIKOLOVA, Mila
Centre de Mathématiques et de Leurs Applications [CMLA]

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

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Ce document a été publié dans

Scale Space and Variational Methods in Computer Vision, 2015-06-01, Lège Cap-Ferret. vol. 9087, p. pp 437-448

Résumé en anglais

Color image enhancement is a challenging task in digital imaging with many applications. This paper contributes to image enhancement methods. We propose a new variational model for color improvement in the RGB space based on a desired target intensity image. Our model improves the visual quality of the color image while it preserves the range and takes the hue of the original, badly exposed image into account without amplifying its color artifacts. To approximate the hue of the original image we use the fact that affine transforms are hue preserving. To cope with the noise in the color channels we design a particular coupled TV regularization term. Since the target intensity of the image is unaltered our model respects important image structures. Numerical results demonstrate the very good performance of our method.< Réduire

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Importé de hal

Unités de recherche

Institut de Mathématiques de Bordeaux (IMB) - UMR 5251