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Authors: Karlo Koščević ; Nikola Banić and Sven Lončarić

Affiliation: Image Processing Group, Department of Electronic Systems and Information Processing, Faculty of Electrical Engineering and Computing, University of Zagreb, 10000 Zagreb and Croatia

ISBN: 978-989-758-354-4

Keyword(s): Chromaticity, Color Constancy, Genetic Algorithm, Illumination Estimation, Image Enhancement, White Balancing.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Image Enhancement and Restoration ; Image Formation and Preprocessing ; Image Formation, Acquisition Devices and Sensors ; Image Generation Pipeline: Algorithms and Techniques

Abstract: The image processing pipeline of most contemporary digital cameras performs illumination estimation in order to remove the influence of illumination on image scene colors. In this paper an experiment is described that examines some of the basic properties of illumination estimation methods for several Canon’s camera models. Based on the obtained observations, an extension to any illumination estimation method is proposed that under certain conditions alters the results of the underlying method. It is shown that with statistics-based methods as underlying methods the proposed extension can outperform camera’s illumination estimation in terms of accuracy. This effectively demonstrates that statistics-based methods can still be successfully used for illumination estimation in digital cameras. The experimental results are presented and discussed. The source code is available at https://ipg.fer.hr/ipg/resources/color_constancy.

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Paper citation in several formats:
Koščević, K.; Banić, N. and Lončarić, S. (2019). Color Beaver: Bounding Illumination Estimations for Higher Accuracy.In Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP, ISBN 978-989-758-354-4, pages 183-190. DOI: 10.5220/0007393701830190

@conference{visapp19,
author={Karlo Koščević. and Nikola Banić. and Sven Lončarić.},
title={Color Beaver: Bounding Illumination Estimations for Higher Accuracy},
booktitle={Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,},
year={2019},
pages={183-190},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007393701830190},
isbn={978-989-758-354-4},
}

TY - CONF

JO - Proceedings of the 14th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Volume 4 VISAPP: VISAPP,
TI - Color Beaver: Bounding Illumination Estimations for Higher Accuracy
SN - 978-989-758-354-4
AU - Koščević, K.
AU - Banić, N.
AU - Lončarić, S.
PY - 2019
SP - 183
EP - 190
DO - 10.5220/0007393701830190

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