Literature DB >> 17030816

Transforming reflectance spectra into Munsell color space by using prime colors.

A Kimball Romney1, James T Fulton.   

Abstract

Independent researchers have proved mathematically that, given a set of color-matching functions, there exists a unique set of three monochromatic spectral lights that optimizes luminous efficiency and color gamut. These lights are called prime colors. We present a method for transforming reflectance spectra into Munsell color space by using hypothetical absorbance curves based on Gaussian approximations of the prime colors and a simplified version of opponent process theory. The derived color appearance system is represented as a 3D color system that is qualitatively similar to a conceptual representation of the Munsell color system. We illustrate the application of the model and compare it with existing models by using reflectance spectra obtained from 1,269 Munsell color samples.

Mesh:

Year:  2006        PMID: 17030816      PMCID: PMC1622884          DOI: 10.1073/pnas.0607488103

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  7 in total

1.  The spectral sensitivities of the middle- and long-wavelength-sensitive cones derived from measurements in observers of known genotype.

Authors:  A Stockman; L T Sharpe
Journal:  Vision Res       Date:  2000       Impact factor: 1.886

2.  A model for the simultaneous analysis of reflectance spectra and basis factors of Munsell color samples under D65 illumination in three-dimensional Euclidean space.

Authors:  A Kimball Romney; Tarow Indow
Journal:  Proc Natl Acad Sci U S A       Date:  2002-08-02       Impact factor: 11.205

3.  Cone contributions to colour constancy.

Authors:  Oliver Rinner; Karl R Gegenfurtner
Journal:  Perception       Date:  2002       Impact factor: 1.490

4.  A quantitative model for transforming reflectance spectra into the Munsell color space using cone sensitivity functions and opponent process weights.

Authors:  Roy G D'Andrade; A Kimball Romney
Journal:  Proc Natl Acad Sci U S A       Date:  2003-05-05       Impact factor: 11.205

5.  Colorimetry and prime colours--a theorem.

Authors:  Hans Petter Hornaes; Jan Henrik Wold; Ivar Farup
Journal:  J Math Biol       Date:  2005-07-13       Impact factor: 2.259

6.  Principal-component analysis of macaque lateral geniculate nucleus chromatic data.

Authors:  R A Young
Journal:  J Opt Soc Am A       Date:  1986-10       Impact factor: 2.129

7.  A general canonical correlation index.

Authors:  D Stewart; W Love
Journal:  Psychol Bull       Date:  1968-09       Impact factor: 17.737

  7 in total
  1 in total

1.  Functional computational model for optimal color coding.

Authors:  A Kimball Romney; Chuan-Chin Chiao
Journal:  Proc Natl Acad Sci U S A       Date:  2009-06-03       Impact factor: 11.205

  1 in total

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