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A Novel Method for Exemplar-based Image Inpainting

机译:一种基于样例的图像修复新方法

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摘要

A novel exemplar-based image inpainting algorithm is presented in this paper, in which optimal exemplar is determined by Gaussian weight Euclidean distance in view of not only the differences between patches but also space distance. The new method of computing confidence term when a damaged block was repaired is introduced, which improves the priori computation precision. Furthermore, a damaged front searching method within the adjacent region of repaired block is used to narrow the search area and reducing the running time. Experimental results show that the proposed method achieves better inpainting effect and saves the necessity of the damaged front selection and improve inpainting efficiency.
机译:提出了一种新的基于样本的图像修复算法,该算法根据斑块之间的差异以及空间距离,由高斯加权欧式距离确定最优样本。引入了修复损坏块时置信度项的新方法,提高了先验计算精度。此外,在修复块的相邻区域内使用损坏的前部搜索方法来缩小搜索区域并减少运行时间。实验结果表明,所提方法具有较好的修复效果,省去了损坏前锋选择的必要,提高了修复效率。

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