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Author: A. Histace

Affiliation: ETIS UMR CNRS 8051 and ENSEA-UCP, France

ISBN: 978-989-8425-47-8

Keyword(s): Stochastic resonance, Low-level image processing, Binarization.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Feature Extraction ; Features Extraction ; Image and Video Analysis ; Informatics in Control, Automation and Robotics ; Segmentation and Grouping ; Signal Processing, Sensors, Systems Modeling and Control

Abstract: It is progressively realized that noise can play a constructive role in nonlinear formation processes. The starting point of the investigation of such useful noise effect has been the study of the Stochastic Resonance (SR) effect. The goal of this article is to propose a direct application of SR phenomenon in image processing, for the interest of SR in that domain is growing-up. As a prolongation of previous work already presented in the literature by author, we propose to quantitatively show that a purposely injection of a gaussian noise in a classical nonlinear image process, as image binarization, can play a constructive action. This work can also be interpreted as a first step for a better understanding of SR in image processing relating it to classical results obtained in a nonlinear signal processing framework for classical low-level image processing tool.

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Paper citation in several formats:
Histace, A. (2011). NON-LINEAR LOW-LEVEL IMAGE PROCESSING IMPROVEMENT BY A PURPOSELY INJECTION OF NOISE.In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011) ISBN 978-989-8425-47-8, pages 226-229. DOI: 10.5220/0003399202260229

@conference{visapp11,
author={A. Histace.},
title={NON-LINEAR LOW-LEVEL IMAGE PROCESSING IMPROVEMENT BY A PURPOSELY INJECTION OF NOISE},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)},
year={2011},
pages={226-229},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003399202260229},
isbn={978-989-8425-47-8},
}

TY - CONF

JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, (VISIGRAPP 2011)
TI - NON-LINEAR LOW-LEVEL IMAGE PROCESSING IMPROVEMENT BY A PURPOSELY INJECTION OF NOISE
SN - 978-989-8425-47-8
AU - Histace, A.
PY - 2011
SP - 226
EP - 229
DO - 10.5220/0003399202260229

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