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Sliced $\mathcal{L}_2$ Distance for Colour Grading
We propose a new method with $\mathcal{L}_2$ distance that maps one $N$-dimensional distribution to another, taking into account available information about correspondences.
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.
Patch based Colour Transfer using SIFT Flow
We propose a new colour transfer method with Optimal Transport (OT) to transfer the colour of a sourceimage to match the colour of a target image of the same scene that may exhibit large motion changes betweenimages.
Entropic Regularisation of Robust Optimal Transport
Grogan et al [11, 12] have recently proposed a solution to colour transfer by minimising the Euclidean distance L2 between two probability density functions capturing the colour distributions of two images (palette and target).
