改进图像绗缝

J. Long, D. Mould
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引用次数: 20

摘要

在本文中,我们从Efros和Freeman的Image Quilting[4]等示例算法中提出了对最小误差边界切割(minimum error boundary cut)的改进,这是一种针对非参数纹理合成塑造纹理斑块的方法。我们的方法使用Dijkstra算法的替代距离度量[3],因此我们能够防止路径在高成本区域走捷径,正如在传统图像拼接中有时可以看到的那样。此外,我们的方法能够减少结果纹理的最大误差和剩余缺陷的可见性,通过将它们扩展到更长的路径上。后期处理方法,如像素重合成[9],可以很容易地修改并应用于我们的最小边界切割,以提高结果的质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved image quilting
In this paper, we present an improvement to the minimum error boundary cut, a method of shaping texture patches for non-parametric texture synthesis from example algorithms such as Efros and Freeman's Image Quilting [4]. Our method uses an alternate distance metric for Dijkstra's algorithm [3], and as a result we are able to prevent the path from taking short cuts through high cost areas, as can sometimes be seen in traditional image quilting. Furthermore, our method is able to reduce both the maximum error in the resulting texture and the visibility of the remaining defects by spreading them over a longer path. Post-process methods such as pixel re-synthesis [9] can easily be modified and applied to our minimum boundary cut to increase the quality of the results.
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