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Optics Letters

| RAPID, SHORT PUBLICATIONS ON THE LATEST IN OPTICAL DISCOVERIES

  • Editor: Alan E. Willner
  • Vol. 38, Iss. 5 — Mar. 1, 2013
  • pp: 754–756

Computation of optimal metamers

Kenichiro Masaoka and Roy S. Berns  »View Author Affiliations


Optics Letters, Vol. 38, Issue 5, pp. 754-756 (2013)
http://dx.doi.org/10.1364/OL.38.000754


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Abstract

A fast, accurate model for computing Logvinenko’s optimal metamers is introduced. The spectral reflectance of an optimal metamer is uniquely determined from a class of metamers with common tristimulus values. A set of optimal metamers is useful for evaluating the color reproduction and gamut of object colors under different illuminants. In conventional methods, optimal metamers are calculated by interpolating the coordinates of precomputed optimal colors. This model optimizes the spectral reflectance parameters efficiently without switching between bandpass (Type I) and bandstop (Type II) optimal metamers, or requiring any stored optimal-color datasets. Some optimal metamer loci computed using MATLAB are presented.

© 2013 Optical Society of America

OCIS Codes
(120.5240) Instrumentation, measurement, and metrology : Photometry
(230.6080) Optical devices : Sources
(300.6170) Spectroscopy : Spectra
(330.1730) Vision, color, and visual optics : Colorimetry
(330.4060) Vision, color, and visual optics : Vision modeling
(330.1715) Vision, color, and visual optics : Color, rendering and metamerism

ToC Category:
Vision, Color, and Visual Optics

History
Original Manuscript: December 26, 2012
Revised Manuscript: January 31, 2013
Manuscript Accepted: February 1, 2013
Published: February 27, 2013

Citation
Kenichiro Masaoka and Roy S. Berns, "Computation of optimal metamers," Opt. Lett. 38, 754-756 (2013)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-38-5-754


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References

  1. A. D. Logvinenko, J. Vis. 9(11):5 (2009).
  2. W. Ostwald, Phys. Z. 17, 322 (1916).
  3. E. Schrödinger, Ann. Phys. 367, 603 (1920). [CrossRef]
  4. C. Godau and B. Funt, in Proceedings of IS&T/SID 18th Color and Imaging Conference (IS&T, 2010), pp. 334–339.
  5. G. D. Finlayson, M. Mackiewicz, and A. Hurlbert, in Proceedings of IS&T/SID 20th Color and Imaging Conference (IS&T, 2012), pp. 264–269.
  6. K. Masaoka, Opt. Lett. 35, 2031 (2010). [CrossRef]
  7. University of Eastern Finland, Spectral Database, http://www.uef.fi/spectral/spectral-database .

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