Performance Analysis of Solving Poisson Image Blending Problem by Four-Point EGAOR Iterative Method

Authors

DOI:

https://doi.org/10.22452/mjs.sp2019no1.5

Keywords:

Poisson equation, Poisson image blending, finite difference method, 4-EGAOR iteration, five-point Laplacian operator

Abstract

Poisson image blending is one of the useful editing tools in image processing to generate a desirable image which is impossible to acquire. The key to this solution is to obtain the unique solution of Poisson equation. Thus, the motivation of this paper is to examine the effectiveness of 4-EGAOR block iterative method to solve the linear system generated from the Poisson image blending problem. This explicit group iterative method has been shown that is more superior than other point iterative method in solving other numerical problems. Thus, in order to evaluate the performance of 4-EGAOR block iterative method, point SOR and AOR iterative methods is used for comparison purpose. Numerical results shown that 4-EGAOR iterative method has improved the computational time taken and reduced the number of iterations used. Besides, the new images generated by the proposed block iterative method are giving a satisfactory visual effect.

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Published

22-02-2019

How to Cite

Performance Analysis of Solving Poisson Image Blending Problem by Four-Point EGAOR Iterative Method. (2019). Malaysian Journal of Science (MJS), 38(Sp 1), 50-61. https://doi.org/10.22452/mjs.sp2019no1.5

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