Multi-purpose bi-local CAT-based guidance filter

In this paper, we propose a new guidance filter, based on color perception through a chromatic adaptation model. Our method consists of a patch-wise linear transformation, which transfers details from a guidance image to an input image. The amount of transferred details is controlled by a novel chromatic adaptation transform (CAT), called bi-local CAT, embedded in our method. The bi-local CAT contributes to the detail recovery from the guidance image as well as to the preservation of the input reflections and shadows. Our bi-local CAT-based guidance filter is applied in various image processing domains, such as image denoising, image deblurring, texture transfer, detail enhancement, skin beautification, etc.