2009
DOI: 10.1117/12.804818
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Calibrating the ink spreading curves enhanced Yule-Nielsen modified spectral Neugebauer model with the two-by-two dot centering printer model

Abstract: The Yule-Nielsen modified spectral Neugebauer model enhanced for accounting for ink spreading in the different ink superposition conditions (EYNSN) requires measuring the reflectances of halftone calibration patches in order to compute the ink spreading curves mapping nominal ink surface coverages to effective ink surface coverages. Spectral measurements of dozens of halftone patch reflectance spectra for each considered halftoning method, screen shape or screen frequency variant is cumbersome and time consumi… Show more

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Cited by 5 publications
(6 citation statements)
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“…This model has been further improved by subdivision of the ink surface coverage space [14] and by accounting for ink spreading within each subspace. This yields for prints on paper very accurate predictions [15].…”
Section: Related Work and Backgroundmentioning
confidence: 85%
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“…This model has been further improved by subdivision of the ink surface coverage space [14] and by accounting for ink spreading within each subspace. This yields for prints on paper very accurate predictions [15].…”
Section: Related Work and Backgroundmentioning
confidence: 85%
“…We presented a full reproduction workflow for printing color images on metallic substrates. This color reproduction workflow relies on the ink spreading enhanced cellular Yule-Nielsen modified spectral Neugebauer model [15]. The model is calibrated with 35 uniform color samples printed on the metal film measured under specular reflection.…”
Section: Discussionmentioning
confidence: 99%
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“…Let us describe in detail the cellular Yule‐Nielsen model with one subdivision level . The subdomain primaries are formed by surface coverages at all combinations of 0%, 50%, and 100% surface coverages (3 3 = 27 combinations).…”
Section: Predictive Equationsmentioning
confidence: 99%
“…The ink spreading enhanced cellular Yule-Nielsen spectral prediction model (IS-CYNSN) [6] is remarkably accurate for predicting the spectral reflectances of halftones comprising daylight fluorescent inks. It achieves a mean prediction error of ∆E 94 of 0.7 when predicting the total spectral reflectances of 125 uniformly distributed halftones comprising at least one daylight fluorescent ink.…”
Section: Establishing the Lightness Adapted Srgb Gamut And The Printa...mentioning
confidence: 99%