Global contrast factor - a new approach to image contrast

Authors:
Krešimir Matković;László Neumann;Attila Neumann;Thomas Psik;Werner Purgathofer
Affiliations:
VRVis Research Center, Vienna;University of Girona and ICREA, Barcelona;Institute of Computer Graphics and Algorithms, Vienna University of Technology;Institute for Design and Assessment of Technology, Vienna University of Technology;Institute of Computer Graphics and Algorithms, Vienna University of Technology
Venue:
Computational Aesthetics'05 Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging
Year:
2005

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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.