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Authors: Angelo Bosco 1 ; Davide Giacalone 1 ; Arcangelo Bruna 1 ; Sebastiano Battiato 2 and Rosetta Rizzo 2

Affiliations: 1 STMicroelectronics and AST-Computer Vision Group, Italy ; 2 University of Catania and Dept. of Mathematics and Computer Science, Italy

Keyword(s): Signal Activity, Bayer Pattern, CFA, Raw, Noise.

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

Abstract: Discriminating smooth image regions from areas in which significant signal activity occurs is a widely studied subject and is important in low level image processing as well as computer vision applications. In this paper we present a novel method for estimating signal activity in an image directly in the CFA (Color Filter Array) Bayer raw domain. The solution is robust against noise in that it utilizes low level noise characterization of the image sensor to automatically compensate for high noise levels that contaminate the image signal.

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Paper citation in several formats:
Bosco, A.; Giacalone, D.; Bruna, A.; Battiato, S. and Rizzo, R. (2013). Signal Activity Estimation with Built-in Noise Management in Raw Digital Images. In Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP; ISBN 978-989-8565-47-1; ISSN 2184-4321, SciTePress, pages 118-121. DOI: 10.5220/0004280301180121

@conference{visapp13,
author={Angelo Bosco. and Davide Giacalone. and Arcangelo Bruna. and Sebastiano Battiato. and Rosetta Rizzo.},
title={Signal Activity Estimation with Built-in Noise Management in Raw Digital Images},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP},
year={2013},
pages={118-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004280301180121},
isbn={978-989-8565-47-1},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications (VISIGRAPP 2013) - Volume 1: VISAPP
TI - Signal Activity Estimation with Built-in Noise Management in Raw Digital Images
SN - 978-989-8565-47-1
IS - 2184-4321
AU - Bosco, A.
AU - Giacalone, D.
AU - Bruna, A.
AU - Battiato, S.
AU - Rizzo, R.
PY - 2013
SP - 118
EP - 121
DO - 10.5220/0004280301180121
PB - SciTePress

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