This package contains two scripts to run colour grading as described in
[Pitie05a] N-Dimensional Probability Density Function Transfer and its
Application to Colour Transfer. F. Pitie , A. Kokaram and R. Dahyot
(2005) In International Conference on Computer Vision (ICCV'05). Beijing,
October.
[Pitie05b] Towards Automated Colour Grading. F. Pitié , A. Kokaram and
R. Dahyot (2005) In 2nd IEE European Conference on Visual Media
Production (CVMP'05). London, November.
[Pitie07a] Automated colour grading using colour distribution transfer.
F. Pitie , A. Kokaram and R. Dahyot (2007) Computer Vision and Image
Understanding.
[Pitie07b] The linear Monge-Kantorovitch linear colour mapping for
example-based colour transfer. F. Pitié and A. Kokaram (2007) In 4th
IEE European Conference on Visual Media Production (CVMP'07). London,
November.
[Pitie08] Enhancement of Digital Photographs Using Color Transfer Techniques.
F. Pitié, A. Kokaram and R. Dahyot (2008). Single-Sensor Imaging. Sep 2008,
295 -321
Pictures on this webpage are released free of copyrights. Please cite our publications when using our code and pictures (bib).
Send an email to fpitie@mee.tcd.ie if you want more information
I0 = double(imread('scotland_house.png'))/255; % reference image
I1 = double(imread('scotland_plain.png'))/255; % target palette
IR_idt = colour_transfer_IDT(I0, I1, 10); % [Pitie07a,Pitie05a,Pitie05b]
IR_mkl = colour_transfer_MKL(I0, I1); % [Pitie07b] in RGB space
IR_regrain = regrain(I0, IR_idt); % [Pitie07a,Pitie05b]Note that the IDT method uses random colour directions, hence results will differ from the results published here in result_IDT.png.
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| input ref | input target |
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| IDT Solution (10 iterations) | IDT followed by regrain |
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| Linear Monge-Kantorovitch solution in RGB space |