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

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.

References

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Paper Citation


in Harvard Style

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 - Volume 1: ANNIIP, (ICINCO 2007) ISBN 978-972-8865-86-3, pages 83-90. DOI: 10.5220/0001635400830090


in Bibtex Style

@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 - Volume 1: ANNIIP, (ICINCO 2007)},
year={2007},
pages={83-90},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001635400830090},
isbn={978-972-8865-86-3},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 3rd International Workshop on Artificial Neural Networks and Intelligent Information Processing - Volume 1: ANNIIP, (ICINCO 2007)
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