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

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

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.

References

  1. Chia-Hsiung Chen, Sao-Jie Chen, Pei-Yung Hsiao, 2006, “Edge Detection on the Bayer Pattern”, Circuits and Systems. APCCAS 2006. IEEE Asia Pacific Conference on.
  2. A. Foi, S. Alenius, V. Katkovnik, K.Egiazarian, “Noise Measurement for Raw-Data of Digital Imaging Sensors by Automatic Segmentation of Nonuniform Targets”, IEEE Sensors Journal, Volume 7, Issue: 10, Oct. 2007.
  3. A. Foi, M. Trimeche, V. Katkovnik , K. Egiazarian, 2008, “Practical Poissonian-Gaussian noise modeling and fitting for single-image raw-data”, Image Processing, IEEE Transactions on, Volume: 17 Issue:10, Oct. 2008
  4. A. Bosco, R. A. Bruna, D. Giacalone, S. Battiato, R. Rizzo, 2010, “Signal-dependent raw image denoising using sensor noise characterization via multiple acquisitions”, Proc. SPIE 7537, 753705
  5. Yeong-Hwa Kim, Jaeheon Lee, “Image feature and noise detection based on statistical hypothesis tests and their applications in noise reduction”. Consumer Electronics, IEEE Transactions on, Vol. 51 Issue: 4, Nov. 2005.
Download


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