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Journal of the Optical Society of America A

Journal of the Optical Society of America A

| OPTICS, IMAGE SCIENCE, AND VISION

  • Vol. 19, Iss. 12 — Dec. 1, 2002
  • pp: 2374–2386

Estimating the scene illumination chromaticity by using a neural network

Vlad C. Cardei, Brian Funt, and Kobus Barnard  »View Author Affiliations


JOSA A, Vol. 19, Issue 12, pp. 2374-2386 (2002)
http://dx.doi.org/10.1364/JOSAA.19.002374


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Abstract

A neural network can learn color constancy, defined here as the ability to estimate the chromaticity of a scene’s overall illumination. We describe a multilayer neural network that is able to recover the illumination chromaticity given only an image of the scene. The network is previously trained by being presented with a set of images of scenes and the chromaticities of the corresponding scene illuminants. Experiments with real images show that the network performs better than previous color constancy methods. In particular, the performance is better for images with a relatively small number of distinct colors. The method has application to machine vision problems such as object recognition, where illumination-independent color descriptors are required, and in digital photography, where uncontrolled scene illumination can create an unwanted color cast in a photograph.

© 2002 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

History
Original Manuscript: February 10, 2002
Revised Manuscript: July 2, 2002
Manuscript Accepted: July 2, 2002
Published: December 1, 2002

Citation
Vlad C. Cardei, Brian Funt, and Kobus Barnard, "Estimating the scene illumination chromaticity by using a neural network," J. Opt. Soc. Am. A 19, 2374-2386 (2002)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-19-12-2374

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