An Algorithmic Analysis of Variational Models for Perceptual Local Contrast Enhancement
Sira Ferradans, R. Palma-Amestoy, E. Provenzi
→ BibTeX
@article{ipol.2015.131,
    title   = {{An Algorithmic Analysis of Variational Models for Perceptual Local Contrast Enhancement}},
    author  = {Ferradans, Sira and Palma-Amestoy, R. and Provenzi, E.},
    journal = {{Image Processing On Line}},
    volume  = {5},
    pages   = {219--233},
    year    = {2015},
    doi     = {10.5201/ipol.2015.131},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{https://doi.org/10.5201/ipol.2015.131}}
published
2015-07-29
reference
Sira Ferradans, R. Palma-Amestoy, and E. Provenzi, An Algorithmic Analysis of Variational Models for Perceptual Local Contrast Enhancement, Image Processing On Line, 5 (2015), pp. 219–233. https://doi.org/10.5201/ipol.2015.131

Communicated by Jose-Luis Lisani
Demo edited by Jose-Luis Lisani

Abstract

Color cast cancellation and local contrast enhancement are very important problems in computervision. In this paper we review the algorithm proposed by Palma-Amestoy et al. [A perceptuallyinspired variational framework for color enhancement, IEEE Transactions on Pattern Analysisand Machine Intelligence, 21 (2009), pp. 458–474], present results and evaluate the impact of achange in the parameters.

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