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Analytical Approximations for Color Metric Coefficients

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Abstract

On the assumption of a color space of constant negative curvature, von Schelling has given simple formulas for the color metric coefficients. An attempt has been made to fit such formulas to newly available color-discrimination data for 12 normal observers. A least-squares analysis indicates that Y should be replaced with the quantity, Y′=Y−0.085X+0.011Z, in the special role assigned to luminance by von Schelling. Corresponding to this change, coordinates x′=X/(X+Y′+Z), y′=Y′/(X+Y′+Z) yield the simplest formulas for the coefficients of the expression for color difference:

ΔS=(g11Δx2+2g12ΔxΔy+g22Δy2+g33ΔY2/Y2)12.

Least-squares fitting of the experimental data to von Schelling’s formulas yielded:

g11=g33/(10x2-6.886x+2.083+2.5y-16.66xy+19.6y2).g12=g11(0.3443-x)/y.g22=g11[0.09+(0.3443-x)2]/y2.

These formulas are the best approximations obtainable on the assumption of a color space of constant negative or zero curvature. However, they give such poor approximations to the experimental data that it is concluded that the assumption of a color space inherently more complicated than a space of constant curvature would be required to fit the data to a closeness commensurate with the experimental reproducibility.

© 1957 Optical Society of America

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Analytical Approximations for Color Metric Coefficients. II. Friele Approximation

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J. Opt. Soc. Am. 54(2) 249-256 (1964)

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