Colour Grading, Color Transfer

Research.ColourGrading History

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October 05, 2015 by 134.226.86.125 -
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https://github.com/frcs/colour-transfer.git

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  1. The Linear Monge-Kantorovitch Colour Mapping for Example-Based Colour Transfer. F. Pitié and A. Kokaram (2007) In IEE European Conference on Visual Media Production (CVMP'06). London, December. (pdf )
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  1. The Linear Monge-Kantorovitch Colour Mapping for Example-Based Colour Transfer. F. Pitié and A. Kokaram (2007) In IEE European Conference on Visual Media Production (CVMP'06). London, December. (pdf )
October 05, 2015 by 134.226.86.125 -
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The code has been pushed to GitHub

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The code has been moved to GitHub

October 05, 2015 by 134.226.86.125 -
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  • The code has been pushed to GitHub **
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The code has been pushed to GitHub

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October 05, 2015 by 134.226.86.125 -
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  • The code has been pushed to GitHub **
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October 21, 2008 by 134.226.86.54 -
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keywords: Colour Grading, Film Grading, PDF transfer, Digital Movie Restoration
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keywords: Color Transfer, Colour Grading, Film Grading, PDF transfer, Digital Movie Restoration
May 15, 2008 by 134.226.85.142 -
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  • download the MATLAB code for the pdf transfer
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  • download the MATLAB package to do the colour transfer.
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November 23, 2007 by 134.226.85.142 -
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  1. The Linear Monge-Kantorovitch Linear Colour Mapping for Example-Based Colour Transfer. F. Pitié and A. Kokaram (2007) In IEE European Conference on Visual Media Production (CVMP'06). London, December. (pdf )
to:
  1. The Linear Monge-Kantorovitch Colour Mapping for Example-Based Colour Transfer. F. Pitié and A. Kokaram (2007) In IEE European Conference on Visual Media Production (CVMP'06). London, December. (pdf )
October 30, 2007 by 134.226.85.142 -
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  1. Automated colour grading using colour distribution transfer. F. Pitié , A. Kokaram and R. Dahyot (2007) Journal of Computer Vision and Image Understanding. (demo, pdf )
  2. The Linear Monge-Kantorovitch Linear Colour Mapping for Example-Based Colour Transfer. F. Pitié and A. Kokaram (2007) In IEE European Conference on Visual Media Production (CVMP'06). London, December. (demo, pdf )
to:
  1. Automated colour grading using colour distribution transfer. F. Pitié , A. Kokaram and R. Dahyot (2007) Journal of Computer Vision and Image Understanding. (pdf )
  2. The Linear Monge-Kantorovitch Linear Colour Mapping for Example-Based Colour Transfer. F. Pitié and A. Kokaram (2007) In IEE European Conference on Visual Media Production (CVMP'06). London, December. (pdf )
October 30, 2007 by 134.226.85.142 -
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Before considering full non-linear techniques, it is often useful to find the parameters of linear colour transformation. In Photoshop for instance, adjusting the colours require to tune a half dozen parameters like the brightness, contrast, colour filter, colour mixing, etc. Different mappings can achieve this tuning and in [4] it explored in details how to find such mappings. It is also proposed in [4] a solution to the minimal colour displacement mapping, which is based on the Monge-kantorovitch linear solution.

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Before considering fully non-linear techniques, it is often useful to find the parameters of linear colour transformation. In Photoshop for instance, adjusting the colours require to tune a half dozen parameters like the brightness, contrast, colour filter, colour mixing, etc. Different mappings can achieve this tuning and in [4] it explored in details how to find such mappings. It is also proposed in [4] a solution to the minimal colour displacement mapping, which is based on the Monge-Kantorovitch linear solution.

October 30, 2007 by 134.226.85.142 -
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Currently in the industry, colour balancing (as it is called) is achieved by experienced artists who use edit hardware and software to manually match the colour between frames by tuning parameters. For instance, in an effort to balance the red colour, the digital samples in the red channel in one frame may be multiplied by some factor and the output image viewed and compared to the colour of some other (a target) frame. The factor is then adjusted if the match in colour is not quite right. The amount of adjustment and wether it is an increase or decrease depends crucially on the experience of the artist. This is because it is a delicate task since the change in lighting conditions induces a very complex change of illumination. It would be beneficial to automate this task in some way.

The technique proposed here is an example-based re-colouring method which can be illustrated by the picture above. The original picture is required to be transformed so that its colours match the palette of the image in the middle, regardless of the content of the pictures.

to:

Currently in the industry, colour balancing (as it is called) is achieved by experienced artists who use edit hardware and software to manually match the colour between frames by tuning parameters. For instance, in an effort to balance the red colour, the digital samples in the red channel in one frame may be multiplied by some factor and the output image viewed and compared to the colour of some other (a target) frame. The factor is then adjusted if the match in colour is not quite right. The amount of adjustment and whether it is an increase or decrease depends crucially on the experience of the artist. This is because it is a delicate task since the change in lighting conditions induces a very complex change of illumination. It would be beneficial to automate this task in some way.

The techniques proposed here are example-based re-colouring methods which can be illustrated by the picture above. The original picture is required to be transformed so that its colours match the palette of the image in the middle, regardless of the content of the pictures.

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In [1,2,3] an iterative colour transfer method is discussed. Since it is known how to perform intensity transfer on grayscale pictures, the proposed idea is to cycle through all the colour spectrum and apply iteratively the 1D colour transfer technique. The method is efficient as it only requires the manipulation of 1D colour marginals.

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Monge-Kantorovitch Linear Colour Transformation

Before considering full non-linear techniques, it is often useful to find the parameters of linear colour transformation. In Photoshop for instance, adjusting the colours require to tune a half dozen parameters like the brightness, contrast, colour filter, colour mixing, etc. Different mappings can achieve this tuning and in [4] it explored in details how to find such mappings. It is also proposed in [4] a solution to the minimal colour displacement mapping, which is based on the Monge-kantorovitch linear solution.

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  1. Automated colour grading using colour distribution transfer. F. Pitié , A. Kokaram and R. Dahyot (2007) Journal of Computer Vision and Image Understanding. (demo, pdf )
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  1. Automated colour grading using colour distribution transfer. F. Pitié , A. Kokaram and R. Dahyot (2007) Journal of Computer Vision and Image Understanding. (demo, pdf )
  2. The Linear Monge-Kantorovitch Linear Colour Mapping for Example-Based Colour Transfer. F. Pitié and A. Kokaram (2007) In IEE European Conference on Visual Media Production (CVMP'06). London, December. (demo, pdf )
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Bibliography

  1. Automated colour grading using colour distribution transfer. F. Pitié , A. Kokaram and R. Dahyot (2007) Journal of Computer Vision and Image Understanding. (demo, pdf )
  2. N-Dimensional Probability Density Function Transfer and its Application to Colour Transfer. F. Pitié , A. Kokaram and R. Dahyot (2005) In International Conference on Computer Vision (ICCV'05). Beijing, October.
  3. 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. ( pdf )
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ND-Distribution Transfer

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ND-Distribution Transfer Downloads

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» download the MATLAB code » download the MATLAB code to generate the rotation matrices

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  • download the MATLAB code
  • download the MATLAB code to generate the rotation matrices
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» the IDT Algorithm in MATLAB

» the algorithm to generate an optimised sequence of axis rotations in MATLAB

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» download the MATLAB code » download the MATLAB code to generate the rotation matrices

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February 20, 2007 by 134.226.86.54 -
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A major problem in the post production industry is matching the colour between different shots possibly taken at different times in the day. This process is part of the large activity of film grading in which the film material is digitally manipulated to have consistent grain and colour. The term colour grading is used here specifically to refer to the matching of colour. Colour grading is important because shots taken at different times under natural light can have a substantially different feel due to even slight changes in lighting.

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A major problem in the post production industry is matching the colour between different shots possibly taken at different times in the day. This process is part of the large activity of film grading in which the film material is digitally manipulated to have consistent grain and colour. The term colour grading is used here specifically to refer to the matching of colour. Colour grading is important because shots taken at different times under natural light can have a substantially different feel due to even slight changes in lighting.

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author: François Pitié
keywords: Colour Grading, Film Grading, PDF transfer, Digital Movie Restoration
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A major problem in the post production industry is matching the colour between different shots possibly taken at different times in the day. This process is part of the large activity of film grading in which the film material is digitally manipulated to have consistent grain and colour. The term colour grading is used here specifically to refer to the matching of colour. Colour grading is important because shots taken at different times under natural light can have a substantially different feel due to even slight changes in lighting.

Currently in the industry, colour balancing (as it is called) is achieved by experienced artists who use edit hardware and software to manually match the colour between frames by tuning parameters. For instance, in an effort to balance the red colour, the digital samples in the red channel in one frame may be multiplied by some factor and the output image viewed and compared to the colour of some other (a target) frame. The factor is then adjusted if the match in colour is not quite right. The amount of adjustment and wether it is an increase or decrease depends crucially on the experience of the artist. This is because it is a delicate task since the change in lighting conditions induces a very complex change of illumination. It would be beneficial to automate this task in some way.

The technique proposed here is an example-based re-colouring method which can be illustrated by the picture above. The original picture is required to be transformed so that its colours match the palette of the image in the middle, regardless of the content of the pictures. ND-Distribution Transfer

» the IDT Algorithm in MATLAB

» the algorithm to generate an optimised sequence of axis rotations in MATLAB

Restore
Page last modified on October 05, 2015