Automatic detection of filters in images with Gaussian noise using independent component analysis

Authors:
Salua Nassabay;Ingo R. Keck;Carlos G. Puntonet;Rubén M. Clemente;Elmar W. Lang
Affiliations:
Department of Architecture and Technology of Computers, University of Granada, Granada, Spain;Department of Architecture and Technology of Computers, University of Granada, Granada, Spain;Department of Architecture and Technology of Computers, University of Granada, Granada, Spain;Department of Signals and Communication, University of Sevilla, Sevilla, Spain;Institute of Biophysics, University of Regensburg, Regensburg, Germany
Venue:
IWANN'07 Proceedings of the 9th international work conference on Artificial neural networks
Year:
2007

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Abstract

In this article we present the results of a study carried out using the popular fastica algorithm applied to the detection of filters in natural images in gray-scale, contaminated with gaussian noise. The detection of filters has been accomplished by using the statistical distribution measures kurtosis and skewness.