Kresimir MatkovicORCID iD, László Neumann, Attila Neumann, Thomas Psik, Werner PurgathoferORCID iD
Global Contrast Factor-a New Approach to Image Contrast
In Computational Aesthetics in Graphics, Visualization and Imaging 2005, pages 159-168. May 2005.
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Information

  • Publication Type: Conference Paper
  • Workgroup(s)/Project(s): not specified
  • Date: May 2005
  • ISBN: 3905673274
  • Publisher: Eurographics Association
  • Location: Girona, Spain
  • Lecturer: Werner PurgathoferORCID iD
  • Editor: L. Neumann, M. Sbert, B. Gooch, W. Purgathofer
  • Booktitle: Computational Aesthetics in Graphics, Visualization and Imaging 2005
  • Conference date: 18. May 2005 – 20. May 2005
  • Pages: 159 – 168

Abstract

Contrast in image processing is usually dened as a ratio between the darkest and the brightest spots of an image. In this paper we introduce a different contrast denition. The newly introduced Global Contrast Factor (GCF) corresponds closer to the human perception of contrast. GCF uses contrasts at various resolution levels in order to compute overall contrast. Experiments were conducted in order to nd weight factors needed to calculate GCF. GCF measures richness of detail as perceived by a human observer, and as such can be used in various application areas like rendering, tone mapping, volume visualization, and lighting design

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BibTeX

@inproceedings{matkovic-2005-glo,
  title =      "Global Contrast Factor-a New Approach to Image Contrast",
  author =     "Kresimir Matkovic and L\'{a}szl\'{o} Neumann and Attila
               Neumann and Thomas Psik and Werner Purgathofer",
  year =       "2005",
  abstract =   "Contrast in image processing is usually dened as a ratio
               between the darkest and the brightest spots of an image. In
               this paper we introduce a different contrast denition. The
               newly introduced Global Contrast Factor (GCF) corresponds
               closer to the human perception of contrast. GCF uses
               contrasts at various resolution levels in order to compute
               overall contrast. Experiments were conducted in order to nd
               weight factors needed to calculate GCF. GCF measures
               richness of detail as perceived by a human observer, and as
               such can be used in various application areas like
               rendering, tone mapping, volume visualization, and lighting
               design",
  month =      may,
  isbn =       "3905673274",
  publisher =  "Eurographics Association",
  location =   "Girona, Spain",
  editor =     "L. Neumann, M. Sbert, B. Gooch, W. Purgathofer",
  booktitle =  "Computational Aesthetics in Graphics, Visualization and
               Imaging 2005",
  pages =      "159--168",
  URL =        "https://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-glo/",
}