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HUE-PRESERVING PERCEPTUAL CONTRAST ENHANCEMENT

Authors :
Jean-François Aujol
Gabriele Steidl
Vinh-Thong Ta
Fabien Pierre
Aurélie Bugeau
Institut de Mathématiques de Bordeaux (IMB)
Université Bordeaux Segalen - Bordeaux 2-Université Sciences et Technologies - Bordeaux 1-Université de Bordeaux (UB)-Institut Polytechnique de Bordeaux (Bordeaux INP)-Centre National de la Recherche Scientifique (CNRS)
Laboratoire Bordelais de Recherche en Informatique (LaBRI)
Université de Bordeaux (UB)-Centre National de la Recherche Scientifique (CNRS)-École Nationale Supérieure d'Électronique, Informatique et Radiocommunications de Bordeaux (ENSEIRB)
University of Kaiserslautern [Kaiserslautern]
Institut Polytechnique de Bordeaux (Bordeaux INP)
CPU
Source :
Internationnal Conference on Image Processing (ICIP), Internationnal Conference on Image Processing (ICIP), Jun 2016, Phoenix, United States, ICIP
Publication Year :
2016
Publisher :
HAL CCSD, 2016.

Abstract

International audience; 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.

Details

Language :
English
Database :
OpenAIRE
Journal :
Internationnal Conference on Image Processing (ICIP), Internationnal Conference on Image Processing (ICIP), Jun 2016, Phoenix, United States, ICIP
Accession number :
edsair.doi.dedup.....8a02015ad9a9ef21f00340de1fc1b9f2