1 January 2005 Robust estimation algorithm for spectral Neugebauer models
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J. of Electronic Imaging, 14(1), 013001 (2005). doi:10.1117/1.1877532
Abstract
Quantitative models are used to predict printer output colors from a set of toner control values. The so-called Neugebauer model predicts the spectral reflectance of the printed colors. We present an algorithm for estimating the parameters of the Neugebauer model from a set of measured reflectances. The algorithm requires a bound on the magnitude of the output reflectance errors. A case study using a high-end color printer suggests that this algorithm yields robust spectral models, which are less sensitive (to undesirable variations in the data) than the models obtained with the methods of least-squares and total least-squares.
Carlos Lana, Mario Rotea, Daniel E. Viassolo, "Robust estimation algorithm for spectral Neugebauer models," Journal of Electronic Imaging 14(1), 013001 (1 January 2005). http://dx.doi.org/10.1117/1.1877532
JOURNAL ARTICLE
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KEYWORDS
Reflectivity

Data modeling

Error analysis

Printing

CMYK color model

Spectral models

Performance modeling

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