FRACTAL ANALYSIS TOOLS FOR CHARACTERIZING THE COLORIMETRIC ORGANIZATION OF DIGITAL IMAGES - Case Study using Natural and Synthetic Images

Julien Chauveau, David Rousseau, Paul Richard, François Chapeau-Blondeau

Abstract

The colorimetric organization of RGB color images is analyzed through the computation of algorithms which can characterize fractal organizations in the support and population of their three-dimensional color histogram. These algorithms have shown that complex organizations across scales exist in the colorimetric domain for natural images with often non-integer fractal dimension over a certain range of scale. In this paper, we apply this method of colorimetric characterization to synthetic images produced by rendering techniques of increasing sophistication. We show that the fractal or scale invariant signatures are more pronounced when the realism of the synthetic images increases. Such results could have interesting applications to improve the colorimetric realism of synthetic images. This also may contribute to progress in classification and vision, in using fractal colorimetric properties to differentiate natural and synthetic images.

References

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Paper Citation


in Harvard Style

Chauveau J., Rousseau D., Richard P. and Chapeau-Blondeau F. (2010). FRACTAL ANALYSIS TOOLS FOR CHARACTERIZING THE COLORIMETRIC ORGANIZATION OF DIGITAL IMAGES - Case Study using Natural and Synthetic Images . In Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010) ISBN 978-989-674-029-0, pages 245-248. DOI: 10.5220/0002818202450248


in Bibtex Style

@conference{visapp10,
author={Julien Chauveau and David Rousseau and Paul Richard and François Chapeau-Blondeau},
title={FRACTAL ANALYSIS TOOLS FOR CHARACTERIZING THE COLORIMETRIC ORGANIZATION OF DIGITAL IMAGES - Case Study using Natural and Synthetic Images},
booktitle={Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)},
year={2010},
pages={245-248},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002818202450248},
isbn={978-989-674-029-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, (VISIGRAPP 2010)
TI - FRACTAL ANALYSIS TOOLS FOR CHARACTERIZING THE COLORIMETRIC ORGANIZATION OF DIGITAL IMAGES - Case Study using Natural and Synthetic Images
SN - 978-989-674-029-0
AU - Chauveau J.
AU - Rousseau D.
AU - Richard P.
AU - Chapeau-Blondeau F.
PY - 2010
SP - 245
EP - 248
DO - 10.5220/0002818202450248