Global Contrast Factor - a New Approach to Image Contrast
Inhaltsverzeichnis
Reference
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
DOI
http://dx.doi.org/10.2312/COMPAESTH/COMPAESTH05/159-167
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.
Extended Abstract
Bibtex
@inproceedings{Matkovic:2005:GCF:2381219.2381242, 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 = {http://dx.doi.org/10.2312/COMPAESTH/COMPAESTH05/159-167 http://de.evo-art.org/index.php?title=Global_Contrast_Factor_-_a_New_Approach_to_Image_Contrast }, doi = {10.2312/COMPAESTH/COMPAESTH05/159-167}, acmid = {2381242}, publisher = {Eurographics Association}, address = {Aire-la-Ville, Switzerland, Switzerland}, }
Used References
ACEBO E. D., SBERT M.: How Benford's law can help in image analysis, presented at the first EG/ACM workshop on computational aesthetics, 2005.
FEIXAS M., ACEBO E., SBERT M.: Entropy of scene visibility. In WSCG'99 (Seventh International Conference in Central Europe on Computer Graphics, Visualization and Interactive Digital Media) (Plzen-Borey, Czech Republic, 1999), University of West Bohemia, pp. SP/45.SP/52.
GREENFIELD G. R.: On designing and testing metrics to aesthetically evaluate images, presented at the first EG/ACM workshop on computational aesthetics, 2005.
Bruce Gooch , Erik Reinhard , Chris Moulding , Peter Shirley, Artistic Composition for Image Creation, Proceedings of the 12th Eurographics Workshop on Rendering Techniques, p.83-88, June 25-27, 2001 http://dl.acm.org/citation.cfm?id=732295&CFID=588525319&CFTOKEN=29804931
HUNT R. W. G.: Measuring Color, 2 ed. Ellis Horwood, 1992.
KOLPATZIK B., BOUMAN C.: Optimized universal color palette design for error diffusion. Journal of Electronic Imaging 4, 2 (1995), 131-143.
J. Mannos , D. Sakrison, The effects of a visual fidelity criterion of the encoding of images, IEEE Transactions on Information Theory, v.20 n.4, p.525-536, July 1974 http://dx.doi.org/10.1109/TIT.1974.1055250
NEMCSICS A.: The color space of the coloroid color order system. Color Research and Application 12 (Nov. 1987), 135-146.
NEUMANN L., MATKOVIC K., PURGATHOFER W.: The Global Contrast Factor. Technical Report TR-186-2-98-32, Institute of Computer Graphics, Vienna University of Technology, 1998.
NEUMANN L., MATKOVIC K., PURGATHOFER W.: The global contrast factor. In Proceedings of the first Seminar on Computer Graphics and Visualization in Gävle (2002), Carling E., Hast A., (Eds.), pp. 108-119.
PLEMENOS D., SBERT M., FEIXAS M.: Viewpoint complexity of 3d scenes: definitions and applications, presented at the first eg/acm workshop on computational aesthetics, 2005.
J. Rigau , M. Feixas , M. Sbert, An information-theoretic framework for image complexity, Proceedings of the First Eurographics conference on Computational Aesthetics in Graphics, Visualization and Imaging, May 18-20, 2005, Girona, Spain http://dx.doi.org/10.2312/COMPAESTH/COMPAESTH05/177-184
RUSHMEIER H., WARD G., PIATKO C., SANDERS P., RUST B.: Comparing real and synthetic images: Some ideas about metrics. In Eurographics Rendering Workshop 1995 (1995).
VÁZQUEZ P. P., FEIXAS M., SBERT M., HEIDRICH W.: Automatic view selection using viewpoint entropy and its application to image-based modelling. Computer Graphics Forum 22, 4 (Nov. 2003), 689-700.
ZHANG X., WANDELL B. A.: A spatial extension of cielab for digital color image reproduction. SID 27 (1996), 731-734.
Links
Full Text
http://www.cg.tuwien.ac.at/research/publications/2005/matkovic-2005-glo/matkovic-2005-glo-PDF.pdf
Sonstige Links
http://dl.acm.org/citation.cfm?id=2381219.2381242&coll=DL&dl=GUIDE&CFID=588525319&CFTOKEN=29804931