基于迭代Nadaraya-Watson分布传递的颜色分级方法
Iterative Nadaraya-Watson Distribution Transfer for Colour Grading
摘要：
我们提出了一种新的方法与Nadaraya-Watson映射一个N维分布到另一个考虑到可用的信息对应。我们通过对数据点的重叠邻域进行编码，将2D/3D问题扩展到更高的维度，并使用迭代投影方法在1D空间中解决高维问题。为了显示这种映射的潜力，我们将其应用到两幅图像之间的颜色转移，表现出重叠的场景。实验表明，定量和定性的改进，在以前的国家的最先进的颜色转移方法。
英文摘要：
We propose a new method with Nadaraya-Watson that maps one N-dimensional distribution to another taking into account available information about correspondences. We extend the 2D/3D problem to higher dimensions by encoding overlapping neighborhoods of data points and solve the high dimensional problem in 1D space using an iterative projection approach. To show potentials of this mapping, we apply it to colour transfer between two images that exhibit overlapped scene. Experiments show quantitative and qualitative improvements over previous state of the art colour transfer methods.
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