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Implementation of Quarter-Sweep Approach in Poisson Image Blending Problem

The quarter-sweep scheme has been used in solving boundary value problems efficiently. In this paper, we aim to determine the capability of the family of Gauss-Seidel iterative methods to solve the Poisson image blending problem, which are the Full-Sweep Gauss-Seidel (FSGS), Half-Sweep Gauss-Seidel...

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Main Authors: Jeng, Hong Eng, Azali Saudi, Jumat Sulaiman
Format: Article
Language:English
Published: 2019
Subjects:
T Technology (General)
Online Access:https://eprints.ums.edu.my/id/eprint/25177/1/Implementation%20of%20Quarter-Sweep%20Approach%20in%20Poisson%20Image%20Blending%20Problem.pdf
https://eprints.ums.edu.my/id/eprint/25177/
https://doi.org/10.1007/978-981-13-2622-6_13
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spelling my.ums.eprints.251772020-03-11T06:16:02Z https://eprints.ums.edu.my/id/eprint/25177/ Implementation of Quarter-Sweep Approach in Poisson Image Blending Problem Jeng, Hong Eng Azali Saudi Jumat Sulaiman T Technology (General) The quarter-sweep scheme has been used in solving boundary value problems efficiently. In this paper, we aim to determine the capability of the family of Gauss-Seidel iterative methods to solve the Poisson image blending problem, which are the Full-Sweep Gauss-Seidel (FSGS), Half-Sweep Gauss-Seidel (HSGS) and Quarter-Sweep Gauss-Seidel (QSGS). Second order finite difference approximation is used for the discretization of Poisson equation. Finally, the numerical results show that QSGS iterative scheme is more competent as compared with the full- and half-sweep approaches while obtaining the same quality of output images. 2019 Article PeerReviewed text en https://eprints.ums.edu.my/id/eprint/25177/1/Implementation%20of%20Quarter-Sweep%20Approach%20in%20Poisson%20Image%20Blending%20Problem.pdf Jeng, Hong Eng and Azali Saudi and Jumat Sulaiman (2019) Implementation of Quarter-Sweep Approach in Poisson Image Blending Problem. Computational Science and Technology, 481. pp. 127-128. https://doi.org/10.1007/978-981-13-2622-6_13
institution Universiti Malaysia Sabah
building UMS Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sabah
content_source UMS Institutional Repository
url_provider http://eprints.ums.edu.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Jeng, Hong Eng
Azali Saudi
Jumat Sulaiman
Implementation of Quarter-Sweep Approach in Poisson Image Blending Problem
description The quarter-sweep scheme has been used in solving boundary value problems efficiently. In this paper, we aim to determine the capability of the family of Gauss-Seidel iterative methods to solve the Poisson image blending problem, which are the Full-Sweep Gauss-Seidel (FSGS), Half-Sweep Gauss-Seidel (HSGS) and Quarter-Sweep Gauss-Seidel (QSGS). Second order finite difference approximation is used for the discretization of Poisson equation. Finally, the numerical results show that QSGS iterative scheme is more competent as compared with the full- and half-sweep approaches while obtaining the same quality of output images.
format Article
author Jeng, Hong Eng
Azali Saudi
Jumat Sulaiman
author_facet Jeng, Hong Eng
Azali Saudi
Jumat Sulaiman
author_sort Jeng, Hong Eng
title Implementation of Quarter-Sweep Approach in Poisson Image Blending Problem
title_short Implementation of Quarter-Sweep Approach in Poisson Image Blending Problem
title_full Implementation of Quarter-Sweep Approach in Poisson Image Blending Problem
title_fullStr Implementation of Quarter-Sweep Approach in Poisson Image Blending Problem
title_full_unstemmed Implementation of Quarter-Sweep Approach in Poisson Image Blending Problem
title_sort implementation of quarter-sweep approach in poisson image blending problem
publishDate 2019
url https://eprints.ums.edu.my/id/eprint/25177/1/Implementation%20of%20Quarter-Sweep%20Approach%20in%20Poisson%20Image%20Blending%20Problem.pdf
https://eprints.ums.edu.my/id/eprint/25177/
https://doi.org/10.1007/978-981-13-2622-6_13
_version_ 1760230334158340096
score 13.223943

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