Automatic Detection of Filters in Images with Gaussian Noise Using Independent Component Analysis
Conference paper
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.
Keywords
Gaussian Noise Independent Component Analysis Automatic Detection Natural Image Independent Component Analysis
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