A Splitting Algorithm for Medical Image Denoising

Detalhes bibliográficos
Autor(a) principal: Araújo, Adérito
Data de Publicação: 2013
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10316/45004
https://doi.org/10.5220/0004634407040709
Resumo: In this work we consider a stable algorithm for integrating a mathematical model based on mean curvature motion equation proposed in (Alvarez, Lions, Morel 1992) for image denoising. The scheme is constructed using a finite difference space discretisation and semi-implicit time discretisation and is considered with a splitting algorithm that can be implemented in parallel. We apply this algorithm to the problem of denoising optical coherence tomograms from the human retina while preserving image features.
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spelling A Splitting Algorithm for Medical Image DenoisingIn this work we consider a stable algorithm for integrating a mathematical model based on mean curvature motion equation proposed in (Alvarez, Lions, Morel 1992) for image denoising. The scheme is constructed using a finite difference space discretisation and semi-implicit time discretisation and is considered with a splitting algorithm that can be implemented in parallel. We apply this algorithm to the problem of denoising optical coherence tomograms from the human retina while preserving image features.SciTePress2013info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://hdl.handle.net/10316/45004http://hdl.handle.net/10316/45004https://doi.org/10.5220/0004634407040709enghttp://www.scitepress.org/DigitalLibrary/Link.aspx?doi=10.5220/0004634407040709Araújo, Adéritoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2021-06-29T10:03:47Zoai:estudogeral.uc.pt:10316/45004Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T20:53:32.309550Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv A Splitting Algorithm for Medical Image Denoising
title A Splitting Algorithm for Medical Image Denoising
spellingShingle A Splitting Algorithm for Medical Image Denoising
Araújo, Adérito
title_short A Splitting Algorithm for Medical Image Denoising
title_full A Splitting Algorithm for Medical Image Denoising
title_fullStr A Splitting Algorithm for Medical Image Denoising
title_full_unstemmed A Splitting Algorithm for Medical Image Denoising
title_sort A Splitting Algorithm for Medical Image Denoising
author Araújo, Adérito
author_facet Araújo, Adérito
author_role author
dc.contributor.author.fl_str_mv Araújo, Adérito
description In this work we consider a stable algorithm for integrating a mathematical model based on mean curvature motion equation proposed in (Alvarez, Lions, Morel 1992) for image denoising. The scheme is constructed using a finite difference space discretisation and semi-implicit time discretisation and is considered with a splitting algorithm that can be implemented in parallel. We apply this algorithm to the problem of denoising optical coherence tomograms from the human retina while preserving image features.
publishDate 2013
dc.date.none.fl_str_mv 2013
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dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10316/45004
http://hdl.handle.net/10316/45004
https://doi.org/10.5220/0004634407040709
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https://doi.org/10.5220/0004634407040709
dc.language.iso.fl_str_mv eng
language eng
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