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Authors: S. Battiato 1 ; S. Cariolo 1 ; G. Gallo 1 and G. Di Blasi 2

Affiliations: 1 D.M.I. – University of Catania, Italy ; 2 University of Calabria, Italy

Keyword(s): Image enhancement, Principal Component Analysis, Expected color rendition.

Abstract: The paper proposes a new method devoted to identify specific semantic regions on CFA (Color Filtering Array) data images representing natural scenes. Making use of collected statistics over a large dataset of high quality natural images, the method uses spatial features and the Principal Component Analysis (PCA) in the HSL and normalized-RG color spaces. The classes considered, taking into account “visual significance”, are skin, vegetation, blue sky and sea. Semantic information are obtained on pixel basis leading to meaningful regions although not spatially coherent. Such information is used for automatic color rendition of natural digital images based on adaptive color correction. The overall method outperforms previous results providing reliable information validated by measured and subjective experiments.

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Paper citation in several formats:
Battiato, S.; Cariolo, S.; Gallo, G. and Di Blasi, G. (2007). IMAGE ENHANCEMENT BY REGION DETECTION ON CFA DATA IMAGES. In Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP; ISBN 978-972-8865-74-0; ISSN 2184-4321, SciTePress, pages 200-207. DOI: 10.5220/0002067402000207

@conference{visapp07,
author={S. Battiato. and S. Cariolo. and G. Gallo. and G. {Di Blasi}.},
title={IMAGE ENHANCEMENT BY REGION DETECTION ON CFA DATA IMAGES},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP},
year={2007},
pages={200-207},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002067402000207},
isbn={978-972-8865-74-0},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - Volume 2: VISAPP
TI - IMAGE ENHANCEMENT BY REGION DETECTION ON CFA DATA IMAGES
SN - 978-972-8865-74-0
IS - 2184-4321
AU - Battiato, S.
AU - Cariolo, S.
AU - Gallo, G.
AU - Di Blasi, G.
PY - 2007
SP - 200
EP - 207
DO - 10.5220/0002067402000207
PB - SciTePress

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