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Journal of the Optical Society of America A

Journal of the Optical Society of America A


  • Vol. 19, Iss. 10 — Oct. 1, 2002
  • pp: 1946–1950

Nonnegative color spectrum analysis filters from principal component analysis characteristic spectra

Robert Piché  »View Author Affiliations

JOSA A, Vol. 19, Issue 10, pp. 1946-1950 (2002)

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Nonnegative color analysis filters are obtained by using an invertible linear transformation of characteristic spectra, which are orthogonal vectors from a principal component analysis (PCA) of a representative ensemble of color spectra. These filters maintain the optimal compression properties of the PCA scheme. Linearly constrained nonlinear programming is used to find a transformation that minimizes the noise sensitivity of the filter set. The method is illustrated by computing analysis and synthesis filters for an ensemble of measured Munsell color spectra.

© 2002 Optical Society of America

OCIS Codes
(000.4430) General : Numerical approximation and analysis
(330.1730) Vision, color, and visual optics : Colorimetry

Original Manuscript: May 7, 2002
Manuscript Accepted: May 30, 2002
Published: October 1, 2002

Robert Piché, "Nonnegative color spectrum analysis filters from principal component analysis characteristic spectra," J. Opt. Soc. Am. A 19, 1946-1950 (2002)

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