Median-type filters with model-based preselection masks

To remove impulsive noise, several variants of median-type filters are presented. They use some prior information provided by the probabilistic composition model of the class of the image being processed. This information is doubly applied; first, in elaborating a noise-estimation mask for the prese...

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Bibliographic Details
Published in:Image and vision computing 1996, Vol.14 (10), p.741-752
Main Authors: García-Cabrera, Lina, García-Salinas, M.José, Luque-Escamilla, Pedro L., Martínez-Aroza, José, Gómez Lopera, Juan F., Román-Roldán, Ramón
Format: Article
Language:English
Subjects:
Algorithmics. Computability. Computer arithmetics
Applied sciences
Artificial intelligence
Composition matrix
Computer science
control theory
systems
Exact sciences and technology
Median filter
Noisy pixels detection
Pattern recognition. Digital image processing. Computational geometry
Prefiltering mask
Theoretical computing
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Summary:To remove impulsive noise, several variants of median-type filters are presented. They use some prior information provided by the probabilistic composition model of the class of the image being processed. This information is doubly applied; first, in elaborating a noise-estimation mask for the preselection of the pixels which must be filtered; and second, in the filtering process itself. The aim is to avoid the side-effect damage that median-type filters produce in processing the non-contaminated pixels. Experimental results are better than in the conventional median filter.
ISSN:0262-8856
1872-8138
DOI:10.1016/S0262-8856(96)01084-0