A non-parametric filter for digital image restoration, using cluster analysis

We introduce a method to restore digital images with contaminated pixels. One particular characteristic of this method is that it does not change the pixels that are not considered contaminated, thus avoiding excessive intervening of the original image. Each pixel is analyzed by studying its eight p...

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Bibliographic Details
Published inPattern recognition letters Vol. 25; no. 8; pp. 841 - 847
Main Authors Allende, Héctor, Galbiati, Jorge
Format Journal Article
LanguageEnglish
Published Elsevier B.V 01.06.2004
Subjects
Cluster analysis
Image restoration
Robust image processing
Cluster analysis
Robust image processing
Image restoration
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Summary:We introduce a method to restore digital images with contaminated pixels. One particular characteristic of this method is that it does not change the pixels that are not considered contaminated, thus avoiding excessive intervening of the original image. Each pixel is analyzed by studying its eight point neighborhood. A cluster analysis is performed on the group of eight pixels contained in the neighborhood. After deciding how many clusters there are in the neighborhood, a decision is made whether the center pixel is an outlier or not. If so, to assign a new value, another decision is made, on a probabilistic basis, as to which cluster it belongs. This method can be applied to black and white images as well as to color and multiphase images.
ISSN:0167-8655
1872-7344
DOI:10.1016/j.patrec.2004.01.009