Iterative Nadaraya-Watson Distribution Transfer for Colour Grading

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 the potentials of this mapping, we apply it to colour transfer between two images that exhibit overlapped scenes. Experiments show quantitative and qualitative improvements over the previous state of the art colour transfer methods.