loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

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.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.191.200.47

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

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

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic