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Spectrophotometric color matching based on two‐constant kubelka‐munk theory
Author(s) -
Walowit Eric,
McCarthy Cornelius J.,
Berns Roy S.
Publication year - 1988
Publication title -
color research and application
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.393
H-Index - 62
eISSN - 1520-6378
pISSN - 0361-2317
DOI - 10.1002/col.5080130606
Subject(s) - constant (computer programming) , color difference , reflectivity , wavelength , optics , mathematics , matching (statistics) , spectral color , materials science , mathematical analysis , physics , computer science , color model , statistics , artificial intelligence , color space , image (mathematics) , enhanced data rates for gsm evolution , programming language
An algorithm is proposed to minimize the spectral difference between the reflectance of a standard and that of a match formed from a mixture of scattering colorants. This method applies linear least‐squares techniques and Kubelka‐Munk two‐constant theory to the calculation of colorant concentrations required to match the K/S curve of a standard. Several advantages may be gained over traditional tristimulus matching: the spectral reflectance of the standard and predicted formulation exhibit lower spectral difference, the use of spectrally similar colorants is enhanced, and formulations can be determined for standards measured over wavelength regions other than the visible spectrum.