Pitié, François and Kokaram, Anil C. and Dahyot, Rozenn (2007) Automated colour grading using colour distribution transfer. Computer Vision and Image Understanding, 107. pp. 123-137. ISSN 1077-3142

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Abstract

This article proposes an original method for grading the colours between different images or shots. The first stage of the method is to find a one-to-one colour mapping that transfers the palette of an example target picture to the original picture. This is performed using an original and parameter free algorithm that is able to transform any N-dimensional probability density function into another one. The proposed algorithm is iterative, non-linear and has a low computational cost. Applying the colour mapping on the original picture allows reproducing the same ‘feel’ as the target picture, but can also increase the graininess of the original picture, especially if the colour dynamic of the two pictures is very different. The second stage of the method is to reduce this grain artefact through an efficient post-processing algorithm that intends to preserve the gradient field of the original picture.

Item Type:	Article
Keywords:	Colour grading; Colour transfer; Re-colouring; Distribution transfer;
Academic Unit:	Faculty of Science and Engineering > Computer Science
Item ID:	15125
Identification Number:	https://doi.org/10.1016/j.cviu.2006.11.011
Depositing User:	Rozenn Dahyot
Date Deposited:	14 Dec 2021 15:50
Journal or Publication Title:	Computer Vision and Image Understanding
Publisher:	Elsevier
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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