Numerical Solutions for Poisson Image Blending Problem using 4-EDGSOR Iteration

Jeng, Hong Eng and Azali Saudi, and Jumat Sulaiman, (2018) Numerical Solutions for Poisson Image Blending Problem using 4-EDGSOR Iteration. Journal of Computer Science & Computational Mathematics, 8 (4). pp. 83-86.

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Abstract

Poisson image blending is an operation in image processing to generate a new image by using Poisson partial differential equation. In this paper, 4-EDGSOR iteration is used to solve the Poisson image blending problem and its efficiency in solving the proposed problem is illustrated. The approximation Poisson equation is formed by applying a finite difference method. Then, the rotated Laplacian operator which is constructed by a rotated finite difference scheme is used in this paper. Then a linear system is formed and solved using the 4-EDGSOR iterative method. The performance of the 4-EDGSOR iterative method in solving the proposed problem is compared to the SOR and 4-EGSOR iterative methods. The results obtained from numerical solutions showed that the 4-EDGSOR iterative method required lesser time and number of iterations to blend an image. From quality point of view, all images obtained the same natural look.

Item Type: Article
Uncontrolled Keywords: Poisson image blending, 4-EDGSOR iteration, rotated Laplacian operator
Subjects: T Technology > T Technology (General)
T Technology > TR Photography
Divisions: FACULTY > Faculty of Science and Natural Resources
Depositing User: MDM SITI AZIZAH IDRIS
Date Deposited: 19 Feb 2020 02:23
Last Modified: 19 Feb 2020 02:23
URI: http://eprints.ums.edu.my/id/eprint/24973

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