First Order Methods for High Resolution Image Denoising

First Order Methods for High Resolution Image Denoising

In this paper we are interested in comparing theperformance of some of the most relevant first order non-smoothoptimization methods applied to the Rudin, Osher and Fatemi(ROF) Image Denoising Model and a Primal-Dual Chambolle-Pock Image Denoising Model. Because of the properties of theresulting nume...

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Bibliographic Details
Main Author: David Villacís
Format: Article
Language:English
Published: Escuela Politécnica Nacional (EPN) 2017-11-01
Series:Latin-American Journal of Computing
Subjects:
image denoising
high resolution
parallel computing
first order optimization methods
non-smooth optimization methods.
Online Access:https://lajc.epn.edu.ec/index.php/LAJC/article/view/133
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spelling doaj-b3ca49df95654b03bbe1351eb2a9ac822021-04-20T14:56:46ZengEscuela Politécnica Nacional (EPN)Latin-American Journal of Computing1390-92661390-91342017-11-01433742133First Order Methods for High Resolution Image DenoisingDavid Villacís0Escuela Politécnica NacionalIn this paper we are interested in comparing theperformance of some of the most relevant first order non-smoothoptimization methods applied to the Rudin, Osher and Fatemi(ROF) Image Denoising Model and a Primal-Dual Chambolle-Pock Image Denoising Model. Because of the properties of theresulting numerical schemes it is possible to handle these computationspixelwise, allowing implementations based on parallelparadigms which are helpful in the context of high resolutionimaging.https://lajc.epn.edu.ec/index.php/LAJC/article/view/133image denoisinghigh resolutionparallel computingfirst order optimization methodsnon-smooth optimization methods.
collection DOAJ
language English
format Article
sources DOAJ
author David Villacís
spellingShingle David Villacís
First Order Methods for High Resolution Image Denoising
Latin-American Journal of Computing
image denoising
high resolution
parallel computing
first order optimization methods
non-smooth optimization methods.
author_facet David Villacís
author_sort David Villacís
title First Order Methods for High Resolution Image Denoising
title_short First Order Methods for High Resolution Image Denoising
title_full First Order Methods for High Resolution Image Denoising
title_fullStr First Order Methods for High Resolution Image Denoising
title_full_unstemmed First Order Methods for High Resolution Image Denoising
title_sort first order methods for high resolution image denoising
publisher Escuela Politécnica Nacional (EPN)
series Latin-American Journal of Computing
issn 1390-9266
1390-9134
publishDate 2017-11-01
description In this paper we are interested in comparing theperformance of some of the most relevant first order non-smoothoptimization methods applied to the Rudin, Osher and Fatemi(ROF) Image Denoising Model and a Primal-Dual Chambolle-Pock Image Denoising Model. Because of the properties of theresulting numerical schemes it is possible to handle these computationspixelwise, allowing implementations based on parallelparadigms which are helpful in the context of high resolutionimaging.
topic image denoising
high resolution
parallel computing
first order optimization methods
non-smooth optimization methods.
url https://lajc.epn.edu.ec/index.php/LAJC/article/view/133
work_keys_str_mv AT davidvillacis firstordermethodsforhighresolutionimagedenoising
_version_ 1721517643509268480

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