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    Global Contrast Factor - a New Approach to Image Contrast

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    159-167.pdf (479.0Kb)
    Date
    2005
    Author
    Matkovic, Kresimir
    Neumann, László
    Neumann, Attila
    Psik, Thomas
    Purgathofer, Werner
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    Abstract
    Contrast in image processing is usually defined as a ratio between the darkest and the brightest spots of an image. In this paper we introduce a different contrast definition. 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 find 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.
    BibTeX
    @inproceedings {COMPAESTH:COMPAESTH05:159-167,
    booktitle = {Computational Aesthetics in Graphics, Visualization and Imaging},
    editor = {Laszlo Neumann and Mateu Sbert and Bruce Gooch and Werner Purgathofer},
    title = {{Global Contrast Factor - a New Approach to Image Contrast}},
    author = {Matkovic, Kresimir and Neumann, László and Neumann, Attila and Psik, Thomas and Purgathofer, Werner},
    year = {2005},
    publisher = {The Eurographics Association},
    ISSN = {1816-0859},
    ISBN = {3-905673-27-4},
    DOI = {10.2312/COMPAESTH/COMPAESTH05/159-167}
    }
    URI
    http://dx.doi.org/10.2312/COMPAESTH/COMPAESTH05/159-167
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    Eurographics Association copyright © 2013 - 2020 
    Send Feedback | Contact - Imprint | Data Privacy Policy | Disable Google Analytics
    Theme by @mire NV
    System hosted at  Graz University of Technology.
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