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

Nassabay, S. ; Keck, I. R. ; Puntonet, Carlos G. ; Clemente, R. M. ; Lang, Elmar Sandoval, F. , eds.

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Item type:	Book section
ISBN:	978-3-540-73006-4 (Printausgabe), 978-3-540-73007-1(e-book)
Publisher:	Springer
Place of Publication:	Berlin
Other Series:	Lecture notes in computer science
Volume:	4507
Page Range:	pp. 692-699
Date:	2007
Institutions:	Biology, Preclinical Medicine > Institut für Biophysik und physikalische Biochemie > Prof. Dr. Elmar Lang
Dewey Decimal Classification:	500 Science > 570 Life sciences
Status:	Published
Refereed:	Unknown
Created at the University of Regensburg:	Unknown
Item ID:	16854

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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.

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