An Efficient Perception-based Adaptive Color to Gray Transformation
Inhaltsverzeichnis
Reference
László Neumann, Martin Cadík, Antal Nemcsics: An Efficient Perception-based Adaptive Color to Gray Transformation. In: Douglas W. Cunningham, Gary W. Meyer, László Neumann, Alan Dunning, Raquel Paricio (Eds.):Eurographics Workshop on Computational Aesthetics, 2007. 73-80
DOI
http://dx.doi.org/10.2312/COMPAESTH/COMPAESTH07/073-080
Abstract
The visualization of color images in gray scale has high practical and theoretical importance. Neither the existing local, gradient based methods, nor the fast global techniques give a satisfying result. We present a new color to grayscale transformation, based on the experimental background of the Coloroid system observations. We regard the color and luminance contrasts as a gradient field and we introduce a new simple, yet very efficient method to solve the inconsistency of the field. Having a consistent gradient field, we obtain the resultant image via fast direct integration. The complexity of the method is linear in the number of pixels, making it fast and suitable for high resolution images.
Extended Abstract
Bibtex
@inproceedings{Neumann:2007:EPA:2381255.2381267,
author = {Neumann, L. and \v{C}ad\'{\i}k, M. and Nemcsics, A.},
title = {An Efficient Perception-based Adaptive Color to Gray Transformation},
booktitle = {Proceedings of the Third Eurographics Conference on Computational Aesthetics in Graphics, Visualization and Imaging},
series = {Computational Aesthetics'07},
year = {2007},
isbn = {978-3-905673-43-2},
location = {Alberta, Canada},
pages = {73--80},
numpages = {8},
url = {http://dx.doi.org/10.2312/COMPAESTH/COMPAESTH07/073-080, http://de.evo-art.org/index.php?title=An_Efficient_Perception-based_Adaptive_Color_to_Gray_Transformation },
doi = {10.2312/COMPAESTH/COMPAESTH07/073-080},
acmid = {2381267},
publisher = {Eurographics Association},
address = {Aire-la-Ville, Switzerland, Switzerland},
}
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Links
Full Text
http://cadik.posvete.cz/color_to_gray/color_to_gray-cae07-fin.pdf
Sonstige Links
http://dl.acm.org/citation.cfm?id=2381255.2381267&coll=DL&dl=GUIDE&CFID=588525319&CFTOKEN=29804931
