Robust estimation algorithm for spectral Neugebauer models

Carlos Lana; Mario Rotea; Daniel E. Viassolo

doi:10.1117/1.1877532

1 January 2005 Robust estimation algorithm for spectral Neugebauer models

Carlos Lana, Mario Rotea, Daniel E. Viassolo

Author Affiliations +

Journal of Electronic Imaging, Vol. 14, Issue 1, 013001 (January 2005). https://doi.org/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.

©(2005) Society of Photo-Optical Instrumentation Engineers (SPIE)

Citation Download Citation

Carlos Lana, Mario Rotea, and Daniel E. Viassolo "Robust estimation algorithm for spectral Neugebauer models," Journal of Electronic Imaging 14(1), 013001 (1 January 2005). https://doi.org/10.1117/1.1877532

Published: 1 January 2005

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