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Volume: 28 | Article ID: art00040
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Using Gaussian Spectra to Derive a Hue-linear Color Space
  DOI :  10.2352/J.Percept.Imaging.2020.3.2.020401  Published OnlineMarch 2020
Abstract

. A new color space, IGPGTG, was developed. IGPGTG uses the same structure as IPT, an established hue-uniform color space utilized in gamut mapping applications. While IPT was fit to visual data on the perceived hue, IGPGTG was optimized based on evidence linking the peak wavelength of Gaussian-shaped light spectra to their perceived hues. The performance of IGPGTG on perceived hue data was compared to the performance of other established color spaces. Additionally, an experiment was run to directly compare the hue linearity of IGPGTG with those of other color spaces by using Case V of Thurstone's law of comparative judgment to generate hue-linearity scales. IGPGTG performed well in this experiment but poorly on extant visual data. The mixed results indicate that it is possible to derive a moderately hue-linear color space without visual data.

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Luke Hellwig, Mark D. Fairchild, "Using Gaussian Spectra to Derive a Hue-linear Color Spacein Proc. IS&T 28th Color and Imaging Conf.,  2020,  pp 244 - 251,  https://doi.org/10.2352/J.Percept.Imaging.2020.3.2.020401

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Copyright © Society for Imaging Science and Technology 2020
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Color and Imaging Conference
color imaging conf
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