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
Description
Summary: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.
ISSN:1390-9266
1390-9134

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