The geometry of colors

Weinberg, J.W.

doi:10.1007/bf00762021

Cited by 24 publications

(23 citation statements)

References 6 publications

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“…(1) (thus, the color signal cone) depends on the endpoint values λ min and λ max of the visible spectrum interval. Some tried to get around this dependence considering the color signal cone in the limit: when λ min → 0 and λ max → ∞ [17]. Yet, it will be shown below that, in practice, for trichromatic human color vision, this dependence becomes insignificant provided λ min ; λ max is broad enough.…”

Section: Theorymentioning

confidence: 95%

The color cone

Logvinenko

2015

J. Opt. Soc. Am. A

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While the notion of a color cone can be found in writings of Maxwell, Helmholtz, Grassmann, and other scientists of the nineteenth century, it has not been clearly defined as yet. In this paper, the color cone is understood as the set of points in the cone excitation space produced by all possible lights. The spectral curve representing all the monochromatic lights is shown not to entirely belong to the color cone boundary, since its ends turn into the color cone interior. The monochromatic lights represented by the fragment of the spectral curve lying on the color cone boundary make up what is called the effective visible spectrum. The color cone is shown to be a convex hull of the conical surface through the fragment of the spectral curve representing the effective visible spectrum. The effective visible spectrum ends are shown to be determined by the photopigment spectral absorbance being independent of the prereceptor filters (e.g., the spectral transmittance of the lense and macular pigment).

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Section: Theorymentioning

confidence: 95%

The color cone

Logvinenko

2015

J. Opt. Soc. Am. A

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“…A similar inversion model of Weinberg (1976) uses three illuminant spectra which generate Gaussian spectra. The model can be represented as in Equations [6.74] and [6.75]:…”

Section: Inversion Modelsmentioning

confidence: 99%

Chromatic adaptation and colour constancy

Choudhury

2015

Principles of Colour and Appearance Measurement

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“…Inversion models are those where both illuminant and reflectance spectra are simultane-ously derived. These include the Sallstrom-Ruclisbauin model 173,741, which assumes that there is colour constancy when both illuminant and reflectance spectra ,ire linear combinations of three known spectra, and the Weinberg model [75], in which the illuniinant a n d reflectance spectra are assumed to be exponents of functions of three Gaussian spectra.…”

Section: Colour Constancymentioning

confidence: 99%

Quantifying metamerism

Choudhury

Chatterjee

1992

Review of Progress in Coloration and Related Topics

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Metamerism can add an additional dimension to colour control systems. Different aspects of metamerism have been studied and discussed by many researchers. Computerised colorant formulations normally predict low metameric recipes, but the reliability of present measures of metamerism may be questionable as fresh aspects of colour appearance have been recently described. Chromatic adaptation and colour constancy are related phenomena. Studies in these fields are reviewed in this paper, which hopefully will encourage researchers to find a new and more effective measure of metamerism.

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The geometry of colors

Cited by 24 publications

References 6 publications

The color cone

The color cone

Chromatic adaptation and colour constancy

Quantifying metamerism

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