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• W2139231330 abstract "This article presents a computational model of the process through which the human visual system transforms reflectance spectra into perceptions of color. Using physical reflectance spectra data and standard human cone sensitivity functions we describe the transformations necessary for predicting the location of colors in the Munsell color space. These transformations include quantitative estimates of the opponent process weights needed to transform cone activations into Munsell color space coordinates. Using these opponent process weights, the Munsell position of specific colors can be predicted from their physical spectra with a mean correlation of 0.989." @default.
• W2139231330 created "2016-06-24" @default.
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• W2139231330 date "2003-05-05" @default.
• W2139231330 modified "2023-09-25" @default.
• W2139231330 title "A quantitative model for transforming reflectance spectra into the Munsell color space using cone sensitivity functions and opponent process weights" @default.
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• W2139231330 doi "https://doi.org/10.1073/pnas.1031827100" @default.
• W2139231330 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/156363" @default.
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