HUE-PRESERVING PERCEPTUAL CONTRAST ENHANCEMENT
PIERRE, Fabien
Institut de Mathématiques de Bordeaux [IMB]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
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Institut de Mathématiques de Bordeaux [IMB]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
PIERRE, Fabien
Institut de Mathématiques de Bordeaux [IMB]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Institut de Mathématiques de Bordeaux [IMB]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
TA, Vinh-Thong
Institut Polytechnique de Bordeaux [Bordeaux INP]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
< Reduce
Institut Polytechnique de Bordeaux [Bordeaux INP]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Language
en
Communication dans un congrès
This item was published in
Internationnal Conference on Image Processing (ICIP), Internationnal Conference on Image Processing (ICIP), Internationnal Conference on Image Processing (ICIP), 2016-06-25, Phoenix. 2016
English Abstract
This paper proposes a novel model for contrast enhancement of RGB images. The average local contrast measure is increased within a variational framework which preserves the hue of the original image by coupling the channels. ...Read more >
This paper proposes a novel model for contrast enhancement of RGB images. The average local contrast measure is increased within a variational framework which preserves the hue of the original image by coupling the channels. The user is enabled to intuitively control the level of the contrast as well as the scale of the enhanced details. Moreover, our model avoids large modifications of the original image his-togram and thereby preserves the global illumination of the scene. The minimizer of the proposed functional is computed by a hybrid primal-dual algorithm. Numerical experiments show the reliability of the proposed approach in comparison with state-of-the-art methods.Read less <
English Keywords
Contrast enhancement
variational methods
color correction
Origin
Hal imported