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Camera Colour Fidelity through Adapting ICC Profiles

  • Guy K. Kloss
Conference paper
Part of the Communications in Computer and Information Science book series (CCIS, volume 206)

Abstract

Observing colour robustly in images captured with off-the-shelf cameras can be a challenge. Particularly if the observation is conducted over a long time, while encountering light changes. Factors playing into using this colour information directly for quantitative reasoning: unknown processing in the camera’s firm ware, unpredictable variations in illumination conditions, and colour descriptors possibly not comparable with those of other devices. The research presented outlines an approach based on standard compliant colour management as specified by the International Colour Consortium (ICC). Initially, a device is characterised, resulting in an ICC profile for the starting conditions. Software tracks the changes of a number of coloured objects in the scene. With these changes a colour corrective transformation is fused into the ICC profile, compensating for the colour shift induced over time. An ICC profile transformation yields device independent CIE LAB colour space information. This paper describes background and process of the colour correction – including profile adaptation without process interruption – along with validation experiments conducted.

Keywords

Colour Management ICC Profiles Dynamic Adaptation Colour Correction Colour Fidelity Camera 

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References

  1. 1.
    Ebner, M.: Color Constancy. Imaging Science and Technology. Wiley-IS&T, West Sussex (2007)Google Scholar
  2. 2.
    Has, M., Newman, T.: Color Management: Current Practice and The Adoption of a New Standard. Whitepaper 1, International Color Consortium (1995), http://www.color.org/wpaper1.html;
  3. 3.
    International Color Consortium: Specification ICC.1:2004-10 (Profile version 4.2.0.0) [ISO 15076-1:2005] (2006), http://color.org/icc_specs2.xalter
  4. 4.
    Hoffmann, G.: CIE Color Space. Technical report, Fachhochschule Emden (2000), http://www.fho-emden.de/~hoffmann/ciexyz29082000.pdf
  5. 5.
    Kloss, G.K.: Adaptation of Colour Perception through Dynamic ICC Profile Modification. Doctor of Philosophy (Ph.,D.), Massey University, Auckland, New Zealand (2010), http://hdl.handle.net/10179/1683
  6. 6.
    Kloss, G.K., Kloss, T.F.: n–Dimensional Linear Vector Field Regression with NumPy. The Python Papers Source Codes 2 (2010), http://ojs.pythonpapers.org/index.php/tppsc/issue/view/20
  7. 7.
    Kloss, G.K., Shin, H., Reyes, N.H.: Dynamic Colour Adaptation for Colour Object Tracking. In: Proceedings of the 24th International Image and Vision Computing New Zealand (IVCNZ), Wellington, New Zealand, pp. 340–345 (2009)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Guy K. Kloss
    • 1
  1. 1.School of Computing + Mathematical SciencesAuckland University of TechnologyAucklandNew Zealand

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