Noisy Image Processing Using the Independent Component Analysis Algorithm AMUSE

Salua Nassabay; Ingo R. Keck; Carlos G. Puntonet; Juan M. Górriz; J. Pérez de Inestroaa; Rubén M. Clemente

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Paper

Noisy Image Processing Using the Independent Component Analysis Algorithm AMUSE

In Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 0ICINCO, 83-90, 2007 , Angers, France

Authors: Salua Nassabay ¹ ; Ingo R. Keck ¹ ; Carlos G. Puntonet ¹ ; Juan M. Górriz ¹ ; J. Pérez de Inestroaa ¹ and Rubén M. Clemente ²

Affiliations: ¹ Universidad Granada, Spain ; ² Universidad Sevilla, Spain

Abstract: In this article we investigate the performance of the ICA algorithm AMUSE when applied to images contaminated by noise. The classes of noise we are using have gaussian, multiplicative and impulsive distributions. We find that AMUSE copes surprisingly well with the different types of noise, including multiplicative noise.

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Paper citation in several formats:

Nassabay, S.; R. Keck, I.; G. Puntonet, C.; M. Górriz, J.; Pérez de Inestroaa, J. and M. Clemente, R. (2007). Noisy Image Processing Using the Independent Component Analysis Algorithm AMUSE. In Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2007) - ANNIIP; ISBN 978-972-8865-86-3, SciTePress, pages 83-90. DOI: 10.5220/0001635400830090

@conference{anniip07,
author={Salua Nassabay. and Ingo {R. Keck}. and Carlos {G. Puntonet}. and Juan {M. Górriz}. and J. {Pérez de Inestroaa}. and Rubén {M. Clemente}.},
title={Noisy Image Processing Using the Independent Component Analysis Algorithm AMUSE},
booktitle={Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2007) - ANNIIP},
year={2007},
pages={83-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001635400830090},
isbn={978-972-8865-86-3},
}

TY - CONF

JO - Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing (ICINCO 2007) - ANNIIP
TI - Noisy Image Processing Using the Independent Component Analysis Algorithm AMUSE
SN - 978-972-8865-86-3
AU - Nassabay, S.
AU - R. Keck, I.
AU - G. Puntonet, C.
AU - M. Górriz, J.
AU - Pérez de Inestroaa, J.
AU - M. Clemente, R.
PY - 2007
SP - 83
EP - 90
DO - 10.5220/0001635400830090
PB - SciTePress