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Proceedings Paper

YACCD: yet another color constancy database
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Paper Abstract

Different image databases have been developed so far to test algorithms of color constancy. Each of them differs in the image characteristics, according to the features to test. In this paper we present a new image database, created at the University of Milano. Since a database cannot contain all the types of possible images, to limit the number of images it is necessary to make some choices and these choices should be as neutral as possible. The first image detail that we have addressed is the background. Which is the more convenient background for a color constancy test database? This choice can be affected by the goal of the color correction algorithms. In developing this DB we tried to consider a large number of possible approaches considering color constancy in a broader sense. Images under standard illuminants are presented together with particular non-standard light sources. In particular we collect two groups of lamps: with a weak and with a strong color casts. Another interesting feature is the presence of shadows, that allow to test the local effects of the color correction algorithms. The proposed DB can be used to test algorithms to recover the corresponding color under standard reference illuminants or alternatively assuming a visual appearance approach, to test algorithms for their capability to minimize color variations across the different illuminants, performing in this way a perceptual color constancy. This second approach is used to present preliminary tests. The IDB will be made available on the web.

Paper Details

Date Published: 13 January 2003
PDF: 12 pages
Proc. SPIE 5008, Color Imaging VIII: Processing, Hardcopy, and Applications, (13 January 2003); doi: 10.1117/12.472017
Show Author Affiliations
Alessandro Rizzi, Univ. degli Studi di Milano (Italy)
Carlo Gatta, Univ. degli Studi di Milano (Italy)
Daniele Marini, Univ. degli Studi di Milano (Italy)

Published in SPIE Proceedings Vol. 5008:
Color Imaging VIII: Processing, Hardcopy, and Applications
Reiner Eschbach; Gabriel G. Marcu, Editor(s)

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