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Authors: Fatma Kerouh 1 ; Djemel Ziou 2 and Nabil Lahmar 2

Affiliations: 1 M'Hamed Bougara University, USTHB and Image Processing and Radiation Laboratory, Algeria ; 2 Université de Sherbrooke, Canada

ISBN: 978-989-758-175-5

Keyword(s): Computational Chromatic Adaptation, von Kries Transform, Bradford Transform, Sharp Transform, Spatial Content.

Related Ontology Subjects/Areas/Topics: Abstract Data Visualization ; Computer Vision, Visualization and Computer Graphics ; Display and Interaction Technology ; General Data Visualization ; Perception and Cognition in Visualization ; Spatial Data Visualization ; Visualization Algorithms and Technologies

Abstract: Chromatic adaptation is needed to accurately reproduce the color appearance of an image. Imaging systems have to apply a transform to convert a color of an image captured under an input illuminant to another output illuminant. This transform is called Chromatic Adaptation Transform (CAT). Different CATs have been proposed in the literature such as von Kries, Bradford and Sharp. Both these transforms consider the adjustment of all the image spatial contents (edges, texture and homogeneous area) in the same way. Our intuition is that, CATs behave differently on the image spatial content. To verify that, we prospect to study the well known CATs effect on the image spatial content, according to some objective criteria. Based on observations we made, a new CAT is derived considering the image spatial content. To achieve that, suitable requirements for CAT are revised and re-written in a variational formalism. Encouraging results are obtained while comparing the proposed CAT to some known o nes. (More)

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Paper citation in several formats:
Kerouh, F.; Ziou, D. and Lahmar, N. (2016). Content based Computational Chromatic Adaptation.In Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016) ISBN 978-989-758-175-5, pages 39-47. DOI: 10.5220/0005678100390047

@conference{ivapp16,
author={Fatma Kerouh. and Djemel Ziou. and Nabil Lahmar.},
title={Content based Computational Chromatic Adaptation},
booktitle={Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016)},
year={2016},
pages={39-47},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005678100390047},
isbn={978-989-758-175-5},
}

TY - CONF

JO - Proceedings of the 11th Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 2 IVAPP: IVAPP, (VISIGRAPP 2016)
TI - Content based Computational Chromatic Adaptation
SN - 978-989-758-175-5
AU - Kerouh, F.
AU - Ziou, D.
AU - Lahmar, N.
PY - 2016
SP - 39
EP - 47
DO - 10.5220/0005678100390047

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