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Authors: Edoardo Provenzi and Vicent Caselles

Affiliation: Universitat Pompeu Fabra, Spain

Keyword(s): Contrast Perception, Wavelets, Color.

Related Ontology Subjects/Areas/Topics: Color and Texture Analyses ; Computer Vision, Visualization and Computer Graphics ; Image and Video Analysis ; Image Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: Contrast enhancement of color images can prove to be a difficult task because artifacts and unnatural colors can appear after the process. In this paper we propose a wavelet-based variational framework in which contrast enhancement is obtained through the minimization of a suitable energy functional of wavelet coefficients. We will show that this new approach has certain advantages with respect to the usual spatial techniques sustained by the fact that the wavelet representation is intrinsically local, multiscale and sparse. The Euler-Lagrange equations of the model are implicit equations involving the detail wavelet coefficients of the image. These equations can be quickly solved by Newton’s method, so that the algorithm can rapidly compute the enhanced detail coefficients. We will discuss the influence of the parameters tests on natural images to show that the method is artifact free within an ample range of variability of its parameters.

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Paper citation in several formats:
Provenzi, E. and Caselles, V. (2012). AN ARTIFACT-FREE WAVELET MODEL FOR PERCEPTUAL CONTRAST ENHANCEMENT OF COLOR IMAGES. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP; ISBN 978-989-8565-03-7; ISSN 2184-4321, SciTePress, pages 317-322. DOI: 10.5220/0003806403170322

@conference{visapp12,
author={Edoardo Provenzi. and Vicent Caselles.},
title={AN ARTIFACT-FREE WAVELET MODEL FOR PERCEPTUAL CONTRAST ENHANCEMENT OF COLOR IMAGES},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP},
year={2012},
pages={317-322},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003806403170322},
isbn={978-989-8565-03-7},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2012) - Volume 2: VISAPP
TI - AN ARTIFACT-FREE WAVELET MODEL FOR PERCEPTUAL CONTRAST ENHANCEMENT OF COLOR IMAGES
SN - 978-989-8565-03-7
IS - 2184-4321
AU - Provenzi, E.
AU - Caselles, V.
PY - 2012
SP - 317
EP - 322
DO - 10.5220/0003806403170322
PB - SciTePress