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- W1986184449 abstract "We present a new method to estimate color gamut from primary color spectra only. By using this method, the number ofprints and measurements for printer characterization is greatly reduced, which is of particular importance if there aremany ink candidates to be combined. The method consists in building a mapping between primary color spectra and theircombinations, based on a training set. The mapping is data-driven, without relying on assumptions based on classictheoretical models. Furthermore, we study the effects of smoothing this mapping and its consequences in colorestimation accuracy. We tested the method on recently released Latex-based ink-jet ink, for different pigment and latexloads. The mean simulation accuracy error, optimizing the smoothing parameter, was below 1.5 dE, and gamutestimation error below 2% error. For pigment kinds, mean accuracy was below 4 dE, and gamut estimation error about5%. In all cases, this new method outperforms other overprint estimation methods, such as Kubelka-Munk." @default.
- W1986184449 created "2016-06-24" @default.
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- W1986184449 date "2009-01-18" @default.
- W1986184449 modified "2023-09-27" @default.
- W1986184449 title "Data-driven spectral model for color gamut simulation" @default.
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- W1986184449 doi "https://doi.org/10.1117/12.805940" @default.
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