@Inproceedings{PitieICCV2005,
author= {F. Piti\'{e} and A. C. Kokaram and R. Dahyot}, 
booktitle= {Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1}, 
title= {N-dimensional probability density function transfer and its application to color transfer}, 
year= {2005}, volume= {2}, number= {},
pages= {1434-1439 Vol. 2},
keywords= {image colour analysis;probability;1D marginal distribution;automated color grading;color transfer;continuous transformation;probability density function;Color;Computational efficiency;Density functional theory;Distributed computing;Educational institutions;Image converters;Iterative methods;Rendering (computer graphics);Statistical distributions;Statistics},
url={http://www.tara.tcd.ie/bitstream/handle/2262/19800/01544887.pdf},
note={URI: http://hdl.handle.net/2262/19800 -  Github: https://github.com/frcs/colour-transfer},
abstract={This article proposes an original method to estimate a
continuous transformation that maps a N-dimensional distribution
to another. The method is iterative, non-linear, and
is shown to converge. Only 1D marginal distributions are
used in the estimation process, hence involving low computation
costs. As an illustration this mapping is applied
to colour transfer between two images of different contents.
The paper also serves as a central focal point for collecting
together the research activity in this area and relating it to
the important problem of Automated Colour Grading.},
doi= {10.1109/ICCV.2005.166}, 
ISSN= {1550-5499},
month= {Oct}}

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