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Color constancy by chromaticity neutralization |
JOSA A, Vol. 29, Issue 10, pp. 2217-2225 (2012)
http://dx.doi.org/10.1364/JOSAA.29.002217
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Abstract
In this paper, a robust illuminant estimation algorithm for color constancy is proposed. Considering the drawback of the well-known max-RGB algorithm, which regards only pixels with the maximum image intensities, we explore the representative pixels from an image for illuminant estimation: The representative pixels are determined via the intensity bounds corresponding to a certain percentage value in the normalized accumulative histograms. To achieve the suitable percentage, an iterative algorithm is presented by simultaneously neutralizing the chromaticity distribution and preventing overcorrection. The experimental results on the benchmark databases provided by Simon Fraser University and Microsoft Research Cambridge, as well as several web images, demonstrate the effectiveness of our approach.
© 2012 Optical Society of America
OCIS Codes
(100.2000) Image processing : Digital image processing
(100.2980) Image processing : Image enhancement
(150.2950) Machine vision : Illumination
(330.1720) Vision, color, and visual optics : Color vision
(150.1135) Machine vision : Algorithms
ToC Category:
Vision, Color, and Visual Optics
History
Original Manuscript: June 28, 2012
Revised Manuscript: August 26, 2012
Manuscript Accepted: August 27, 2012
Published: September 26, 2012
Citation
Feng-Ju Chang, Soo-Chang Pei, and Wei-Lun Chao, "Color constancy by chromaticity neutralization," J. Opt. Soc. Am. A 29, 2217-2225 (2012)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-29-10-2217
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