Global Contrast Factor - a New Approach to Image Contrast

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dc.contributor.authorMatkovic, Kresimiren_US
dc.contributor.authorNeumann, Lászlóen_US
dc.contributor.authorNeumann, Attilaen_US
dc.contributor.authorPsik, Thomasen_US
dc.contributor.authorPurgathofer, Werneren_US
dc.contributor.editorLaszlo Neumann and Mateu Sbert and Bruce Gooch and Werner Purgathoferen_US
dc.date.accessioned2013-10-22T07:40:24Z
dc.date.available2013-10-22T07:40:24Z
dc.date.issued2005en_US
dc.description.abstractContrast 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.en_US
dc.description.seriesinformationComputational Aesthetics in Graphics, Visualization and Imagingen_US
dc.identifier.isbn3-905673-27-4en_US
dc.identifier.issn1816-0859en_US
dc.identifier.urihttps://doi.org/10.2312/COMPAESTH/COMPAESTH05/159-167en_US
dc.publisherThe Eurographics Associationen_US
dc.titleGlobal Contrast Factor - a New Approach to Image Contrasten_US
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