Poisson image blending by 4-EDGAOR iteration via rotated five-point Laplacian operator
Poisson image blending by 4-EDGAOR iteration via rotated five-point Laplacian operator
复制标题
通过旋转五点拉普拉斯算子通过 4-EDGAOR 迭代进行泊松图像混合
DOI：
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发表时间：
2018
期刊：
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通讯作者：
J. Sulaiman
中科院分区：
文献类型：
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作者：
J. Eng;A. Saudi;J. Sulaiman
泊松图像混合又称泊松图像编辑，是图像处理中的核心操作之一。本文的主要目标是在获得满意视觉效果的输出图像的同时，以最少的迭代次数和计算时间来解决泊松图像混合问题。为了实现这一目标，本文提出了一种基于旋转拉普拉斯算子的4-显式解耦群加速超松弛迭代法（4-EDGAOR）。通过算例验证了4-EDGAOR迭代法在解决泊松图像融合问题中的有效性。
Poisson image blending is also known as Poisson image editing, is one of the core operation in image processing. The primary aim of this paper is to solve the Poisson image blending problem with the least number of iterations and computational time while obtaining the output images with satisfactory visual effect. In order to achieve this objective, 4-Explicit Decoupled Group Accelerated Over Relaxation (4-EDGAOR) iterative method via rotated Laplacian operator is proposed in this paper. The effectiveness of 4-EDGAOR iterative method in solving Poisson image blending problem is confirmed based on the numerical results obtained from the test examples.