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Harmonic coordinates for real-time image cloning

机译:谐波坐标用于实时图像克隆

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Traditional gradient domain seamless image cloning is a time consuming task, requiring the solving of Poisson’s equations whenever the shape or position of the cloned region changes. Recently, a more efficient alternative, the mean-value coordinates (MVCs) based approach, was proposed to interpolate interior pixels by a weighted combination of values along the boundary. However, this approach cannot faithfully preserve the gradient in the cloning region. In this paper, we introduce harmonic cloning, which uses harmonic coordinates (HCs) instead of MVCs in image cloning. Benefiting from the non-negativity and interior locality of HCs, our interpolation generates a more accurate harmonic field across the cloned region, to preserve the results with as high a quality as with Poisson cloning. Furthermore, with optimizations and implementation on a graphic processing unit (GPU), we demonstrate that, compared with the method using MVCs, our harmonic cloning gains better quality while retaining real-time performance.
机译:传统的梯度域无缝图像克隆是一项耗时的任务,每当克隆区域的形状或位置发生变化时,都需要求解泊松方程。最近,提出了一种更有效的替代方法,即基于均值坐标(MVC)的方法,通过沿着边界的值的加权组合对内部像素进行插值。但是,这种方法不能如实地保留克隆区域中的梯度。在本文中,我们介绍了谐波克隆,它在图像克隆中使用谐波坐标(HCs)而不是MVC。得益于HC的非负性和内部局部性,我们的插值法可在整个克隆区域内产生更准确的谐波场,以与Poisson克隆一样高质量地保存结果。此外,通过优化和在图形处理单元(GPU)上的实现,我们证明,与使用MVC的方法相比,我们的谐波克隆在保持实时性能的同时获得了更好的质量。

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