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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

  • Editor: Franco Gori
  • Vol. 27, Iss. 7 — Jul. 1, 2010
  • pp: 1620–1629

Upgrading color-difference formulas

Ingmar Lissner and Philipp Urban  »View Author Affiliations


JOSA A, Vol. 27, Issue 7, pp. 1620-1629 (2010)
http://dx.doi.org/10.1364/JOSAA.27.001620


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Abstract

We propose a method to improve the prediction performance of existing color-difference formulas with additional visual data. The formula is treated as the mean function of a Gaussian process, which is trained with experimentally determined color-discrimination data. Color-difference predictions are calculated using Gaussian process regression (GPR) considering the uncertainty of the visual data. The prediction accuracy of the CIE94 formula is significantly improved with the GPR approach for the Leeds and the Witt datasets. By upgrading CIE94 with GPR we achieve a significantly lower STRESS value of 26.58 compared with that for CIEDE2000 (27.49) on a combined dataset. The method could serve to improve the prediction performance of existing color-difference equations around particular color centers without changing the equations themselves.

© 2010 Optical Society of America

OCIS Codes
(330.0330) Vision, color, and visual optics : Vision, color, and visual optics
(330.1690) Vision, color, and visual optics : Color
(330.1730) Vision, color, and visual optics : Colorimetry

ToC Category:
Vision, Color, and Visual Optics

History
Original Manuscript: January 26, 2010
Revised Manuscript: April 15, 2010
Manuscript Accepted: April 19, 2010
Published: June 11, 2010

Virtual Issues
Vol. 5, Iss. 11 Virtual Journal for Biomedical Optics

Citation
Ingmar Lissner and Philipp Urban, "Upgrading color-difference formulas," J. Opt. Soc. Am. A 27, 1620-1629 (2010)
http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-27-7-1620

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