Signal Activity Estimation with Built-in Noise Management in Raw Digital Images

Angelo Bosco, Davide Giacalone, Arcangelo Bruna, Sebastiano Battiato, Rosetta Rizzo

2013

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.

Paper Citation

in Harvard Style

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 - Volume 1: VISAPP, (VISIGRAPP 2013) ISBN 978-989-8565-47-1, pages 118-121. DOI: 10.5220/0004280301180121

in Bibtex Style

@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 - Volume 1: VISAPP, (VISIGRAPP 2013)},
year={2013},
pages={118-121},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004280301180121},
isbn={978-989-8565-47-1},
}

in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2013)
TI - Signal Activity Estimation with Built-in Noise Management in Raw Digital Images
SN - 978-989-8565-47-1
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