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Illumination estimation via thin-plate spline interpolation |
JOSA A, Vol. 28, Issue 5, pp. 940-948 (2011)
http://dx.doi.org/10.1364/JOSAA.28.000940
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Abstract
Thin-plate spline interpolation is used to interpolate the chromaticity of the color of the incident scene illumination across a training set of images. Given the image of a scene under unknown illumination, the chromaticity of the scene illumination can be found from the interpolated function. The resulting illumination-estimation method can be used to provide color constancy under changing illumination conditions and automatic white balancing for digital cameras. A thin-plate spline interpolates over a nonuniformly sampled input space, which in this case is a training set of image thumbnails and associated illumination chromaticities. To reduce the size of the training set, incremental k medians are applied. Tests on real images demonstrate that the thin-plate spline method can estimate the color of the incident illumination quite accurately, and the proposed training set pruning significantly decreases the computation.
© 2011 Optical Society of America
OCIS Codes
(100.2000) Image processing : Digital image processing
(330.0330) Vision, color, and visual optics : Vision, color, and visual optics
(330.1690) Vision, color, and visual optics : Color
(330.1710) Vision, color, and visual optics : Color, measurement
(330.1720) Vision, color, and visual optics : Color vision
ToC Category:
Vision, Color, and Visual Optics
History
Original Manuscript: October 6, 2010
Revised Manuscript: January 29, 2011
Manuscript Accepted: March 16, 2011
Published: April 29, 2011
Virtual Issues
Vol. 6, Iss. 6 Virtual Journal for Biomedical Optics
Citation
Lilong Shi, Weihua Xiong, and Brian Funt, "Illumination estimation via thin-plate spline interpolation," J. Opt. Soc. Am. A 28, 940-948 (2011)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-28-5-940
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