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A Variational Method for Multiple-Image Blending

机译:一种多图像融合的变分方法

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The main aim of this paper is to develop an algorithm for blending of multiple images in the image-stitching process. Our idea is to propose a variational method containing an energy functional to determine both a stitched image and weighting mask functions of multiple input images for image blending. The existence of the solution of the proposed energy functional is shown. We also present an alternative minimizing algorithm to solve the proposed model numerically and show the convergence of this algorithm. Experimental results show that the proposed model works effectively and efficiently and that the proposed method is competitive with the tested existing methods under noisy conditions.
机译:本文的主要目的是开发一种在图像拼接过程中融合多个图像的算法。我们的想法是提出一种变分方法,该方法包含一个能量函数,用于确定拼接图像和用于图像融合的多个输入图像的加权蒙版函数。显示了所提出的能量泛函的解的存在。我们还提出了一种替代的最小化算法,以数值方式求解所提出的模型,并证明了该算法的收敛性。实验结果表明,该模型有效有效地工作,并且在嘈杂的条件下,该方法与已测试的现有方法具有竞争性。

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