Go to content
UR Home

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.



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.


Owner only: item control page
  1. Homepage UR

University Library

Publication Server

Contact:

Publishing: oa@ur.de

Dissertations: dissertationen@ur.de

Research data: daten@ur.de

Contact persons