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Journal of Electronic Imaging

Robust estimation algorithm for spectral Neugebauer models
Author(s): Carlos Lana; Mario Rotea; Daniel E. Viassolo
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Paper 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.

Paper Details

Date Published: 1 January 2005
PDF: 10 pages
J. Electron. Imaging. 14(1) 013001 doi: 10.1117/1.1877532
Published in: Journal of Electronic Imaging Volume 14, Issue 1
Show Author Affiliations
Carlos Lana, Purdue Univ. (United States)
Mario Rotea, Purdue Univ. (United States)
Daniel E. Viassolo, General Electric Co. (United States)


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