Image-Dependent Gamut Mapping as Optimization Problem

  • Authors:
  • J. Giesen;E. Schuberth;K. Simon;P. Zolliker;O. Zweifel

  • Affiliations:
  • Max-Planck-Inst. fur Inf., Saarbrucken;-;-;-;-

  • Venue:
  • IEEE Transactions on Image Processing
  • Year:
  • 2007

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Abstract

We explore the potential of image-dependent gamut mapping as a constrained optimization problem. The performance of our new approach is compared to standard reference gamut mapping algorithms in psycho-visual tests.