Iterative Nadaraya-Watson Distribution Transfer for Colour Grading

TL;DR

This paper introduces an iterative Nadaraya-Watson based method for high-dimensional distribution transfer, specifically applied to color grading, demonstrating improved results over existing techniques.

Contribution

It extends distribution transfer to higher dimensions using an iterative projection approach, enabling effective color transfer between complex images.

Findings

Quantitative improvements over previous methods

Qualitative enhancements in color transfer quality

Effective high-dimensional distribution mapping

Abstract

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.