SOR迭代在泊松图像混合中的应用

Proceedings of the International Conference on High Performance Compilation, Computing and Communications Pub Date : 2017-03-22 DOI:10.1145/3069593.3069608

E. Hong, A. Saudi, J. Sulaiman

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引用次数: 8

摘要

图像混合是图像处理中的重要技术之一。本文提出了一种基于Jacobi、Gauss-Seidel和SOR迭代法求解泊松方程的方法。目的是比较和分析三种迭代方法在解决泊松图像混合问题中的有效性。评价标准是基于求解泊松方程的迭代次数和计算时间。结果表明，SOR迭代法比其他两种方法更有效，迭代次数更少，计算时间更短。

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Application of SOR Iteration for Poisson Image Blending

Image blending is one of the important techniques in image processing. In this paper, a method based on solving the Poisson equation using Jacobi, Gauss-Seidel and SOR iterative methods is proposed. The aim is to compare and analyze the effectiveness of the three iterative methods in solving Poisson image blending problem. The evaluation criteria are based on the number of iterations and computational time to solve the Poisson equation. It is shown that SOR iterative method is more effective than the other two methods with a fewer number of iterations and requiring lesser computational time.

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Proceedings of the International Conference on High Performance Compilation, Computing and Communications

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