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Robustifying Vector Median Filter

This paper describes two methods for impulse noise reduction in colour images that outperform the vector median filter from the noise reduction capability point of view. Both methods work by determining first the vector median in a given filtering window. Then, the use of complimentary information f...

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Detalles Bibliográficos
Autores principales: Morillas, Samuel, Gregori, Valentín
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Molecular Diversity Preservation International (MDPI) 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231704/
https://www.ncbi.nlm.nih.gov/pubmed/22164065
http://dx.doi.org/10.3390/s110808115
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author Morillas, Samuel
Gregori, Valentín
author_facet Morillas, Samuel
Gregori, Valentín
author_sort Morillas, Samuel
collection PubMed
description This paper describes two methods for impulse noise reduction in colour images that outperform the vector median filter from the noise reduction capability point of view. Both methods work by determining first the vector median in a given filtering window. Then, the use of complimentary information from componentwise analysis allows to build robust outputs from more reliable components. The correlation among the colour channels is taken into account in the processing and, as a result, a more robust filter able to process colour images without introducing colour artifacts is obtained. Experimental results show that the images filtered with the proposed method contain less noisy pixels than those obtained through the vector median filter. Objective measures demonstrate the goodness of the achieved improvement.
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spelling pubmed-32317042011-12-07 Robustifying Vector Median Filter Morillas, Samuel Gregori, Valentín Sensors (Basel) Article This paper describes two methods for impulse noise reduction in colour images that outperform the vector median filter from the noise reduction capability point of view. Both methods work by determining first the vector median in a given filtering window. Then, the use of complimentary information from componentwise analysis allows to build robust outputs from more reliable components. The correlation among the colour channels is taken into account in the processing and, as a result, a more robust filter able to process colour images without introducing colour artifacts is obtained. Experimental results show that the images filtered with the proposed method contain less noisy pixels than those obtained through the vector median filter. Objective measures demonstrate the goodness of the achieved improvement. Molecular Diversity Preservation International (MDPI) 2011-08-18 /pmc/articles/PMC3231704/ /pubmed/22164065 http://dx.doi.org/10.3390/s110808115 Text en © 2011 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).
spellingShingle Article
Morillas, Samuel
Gregori, Valentín
Robustifying Vector Median Filter
title Robustifying Vector Median Filter
title_full Robustifying Vector Median Filter
title_fullStr Robustifying Vector Median Filter
title_full_unstemmed Robustifying Vector Median Filter
title_short Robustifying Vector Median Filter
title_sort robustifying vector median filter
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3231704/
https://www.ncbi.nlm.nih.gov/pubmed/22164065
http://dx.doi.org/10.3390/s110808115
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