• DocumentCode
    3615934
  • Title

    Error-less colour correction

  • Author

    G.D. Finlayson;P. Morovic

  • Author_Institution
    Sch. of Comput. Sci., East Anglia Univ., Norwich, UK
  • Volume
    3
  • fYear
    2004
  • fDate
    6/26/1905 12:00:00 AM
  • Firstpage
    181
  • Abstract
    Colour correction is the problem of mapping device dependent RGBs to standard CIE XYZs. Traditionally it is solved for by an error minimising one-to-one linear transform. However this problem is ill-posed. There exist multiple reflectances, known as metamers, which induce the same RGB but different XYZs (and vice versa). In this paper, we propose that this ill-posedness might be viewed positively. Indeed, that it leads to an error-less transform for colour correction. We propose that a mapping is error-less if it takes an RGB to an XYZ such that there exists a real reflectance spectrum which integrates to this RGB-XYZ pair. We show how we can solve for a mapping which satisfies this error-less criterion. As in previous studies, we seek a linear transform that is error-less. We show that we can solve for such a transform by quadratic programming. Experiments demonstrate 3 important results. First, that a linear least squares transform is not error-less. Specifically, saturated RGB-XYZ pairs do not correspond to a plausible reflectance. Second, there exists a linear transform that is error-less. Finally, that the best error-less transform performs almost as well as least-squares, but substantially better for saturated colours. It is possible to map RGB to XYZ with zero error.
  • Keywords
    "Error correction","Color","Reflectivity","Least squares methods","Humans","Quadratic programming","Cameras","Nonlinear filters","Uncertainty","Power distribution"
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 2004. ICPR 2004. Proceedings of the 17th International Conference on
  • ISSN
    1051-4651
  • Print_ISBN
    0-7695-2128-2
  • Type

    conf

  • DOI
    10.1109/ICPR.2004.1334498
  • Filename
    1334498