Colorimetric models are used to predict printer output colors from a set of toner control values. One such a model is the Neugebauer model, which predicts the spectral reflectance of the printed colors. This paper presents a new method for estimating the parameters (dot growth functions and primary reflectances) of the Neugebauer model from a set of measured spectral reflectances. Using information on the size of the uncertainty, a robust estimation algorithm (REA) is proposed to obtain a model with low sensitivity to undesirable and unpredictable variations and uncertainty. A case study using a high-end color printer shows that REA is consistently more robust than existing methods.
Carlos Lana, Mario Rotea, Daniel Viassolo, "Characterization of Color Printers Using Robust Parameter Estimation" in Proc. IS&T 11th Color and Imaging Conf., 2003, pp 224 - 231, https://doi.org/10.2352/CIC.2003.11.1.art00039