Is large improvement in efficiency of impulsive noise removal in color images still possible?

The substantial improvement in the efficiency of switching filters, intended for the removal of impulsive noise within color images is described. Numerous noisy pixel detection and replacement techniques are evaluated, where the filtering performance for color images and subsequent results are asses...

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Autores principales:	Lukasz Malinski, Krystian Radlak, Bogdan Smolka
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/4476cacf4e264d8aa25047f7cd59e513
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spelling	oai:doaj.org-article:4476cacf4e264d8aa25047f7cd59e5132021-12-02T20:15:46ZIs large improvement in efficiency of impulsive noise removal in color images still possible?1932-620310.1371/journal.pone.0253117https://doaj.org/article/4476cacf4e264d8aa25047f7cd59e5132021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253117https://doaj.org/toc/1932-6203The substantial improvement in the efficiency of switching filters, intended for the removal of impulsive noise within color images is described. Numerous noisy pixel detection and replacement techniques are evaluated, where the filtering performance for color images and subsequent results are assessed using statistical reasoning. Denoising efficiency for the applied detection and interpolation techniques are assessed when the location of corrupted pixels are identified by noisy pixel detection algorithms and also in the scenario when they are already known. The results show that improvement in objective quality measures can be achieved by using more robust detection techniques, combined with novel methods of corrupted pixel restoration. A significant increase in the image denoising performance is achieved for both pixel detection and interpolation, surpassing current filtering methods especially via the application of a convolutional network. The interpolation techniques used in the image inpainting methods also significantly increased the efficiency of impulsive noise removal.Lukasz MalinskiKrystian RadlakBogdan SmolkaPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253117 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Lukasz Malinski Krystian Radlak Bogdan Smolka Is large improvement in efficiency of impulsive noise removal in color images still possible?
description	The substantial improvement in the efficiency of switching filters, intended for the removal of impulsive noise within color images is described. Numerous noisy pixel detection and replacement techniques are evaluated, where the filtering performance for color images and subsequent results are assessed using statistical reasoning. Denoising efficiency for the applied detection and interpolation techniques are assessed when the location of corrupted pixels are identified by noisy pixel detection algorithms and also in the scenario when they are already known. The results show that improvement in objective quality measures can be achieved by using more robust detection techniques, combined with novel methods of corrupted pixel restoration. A significant increase in the image denoising performance is achieved for both pixel detection and interpolation, surpassing current filtering methods especially via the application of a convolutional network. The interpolation techniques used in the image inpainting methods also significantly increased the efficiency of impulsive noise removal.
format	article
author	Lukasz Malinski Krystian Radlak Bogdan Smolka
author_facet	Lukasz Malinski Krystian Radlak Bogdan Smolka
author_sort	Lukasz Malinski
title	Is large improvement in efficiency of impulsive noise removal in color images still possible?
title_short	Is large improvement in efficiency of impulsive noise removal in color images still possible?
title_full	Is large improvement in efficiency of impulsive noise removal in color images still possible?
title_fullStr	Is large improvement in efficiency of impulsive noise removal in color images still possible?
title_full_unstemmed	Is large improvement in efficiency of impulsive noise removal in color images still possible?
title_sort	is large improvement in efficiency of impulsive noise removal in color images still possible?
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/4476cacf4e264d8aa25047f7cd59e513
work_keys_str_mv	AT lukaszmalinski islargeimprovementinefficiencyofimpulsivenoiseremovalincolorimagesstillpossible AT krystianradlak islargeimprovementinefficiencyofimpulsivenoiseremovalincolorimagesstillpossible AT bogdansmolka islargeimprovementinefficiencyofimpulsivenoiseremovalincolorimagesstillpossible
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Is large improvement in efficiency of impulsive noise removal in color images still possible?

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