Global Contrast Factor - a New Approach to Image Contrast

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Kresimir Matkovic, László Neumann, Attila Neumann, Thomas Psik, Werner Purgathofer: Global Contrast Factor - a New Approach to Image Contrast. In: László Neumann, Mateu Sbert, Bruce Gooch, Werner Purgathofer (Eds.): Eurographics Workshop on Computational Aesthetics. 2005. 159-167



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.

Extended Abstract


author = {Matkovi\'{c}, Kre\v{s}imir and Neumann, L\'{a}szl\'{o} and Neumann, Attila and Psik, Thomas and Purgathofer, Werner},
title = {Global Contrast Factor - a New Approach to Image Contrast},
booktitle = {Proceedings of the First Eurographics Conference on Computational Aesthetics in Graphics, Visualization and Imaging},
series = {Computational Aesthetics'05},
year = {2005},
isbn = {3-905673-27-4},
location = {Girona, Spain},
pages = {159--167},
numpages = {9},
url = { },
doi = {10.2312/COMPAESTH/COMPAESTH05/159-167},
acmid = {2381242},
publisher = {Eurographics Association},
address = {Aire-la-Ville, Switzerland, Switzerland},

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