Translator Disclaimer
1 April 1999 Optimization of the spectral Neugebauer model for printer characterization
Author Affiliations +
A colorimetric printer model takes as its input a set of ink values and predicts the resulting printed color, as specified by reflectance or tristimulus values. The Neugebauer model has been widely used to predict the colorimetric response of halftone color printers. In this paper, techniques for optimizing the Neugebauer model are presented and compared. These include optimization of the Yule–Nielsen factor that accounts for light scattering in the paper, estimation of the dot area functions, and extension to a cellular model. A new technique is described for optimizing the Neugebauer primaries using weighted spectral regression. Experimental results are presented for xerographic printers using two halftone screens: the random or rotated dot, and the dot-on-dot screen. Use of the Yule–Nielsen factor, the cellular framework, and spectral regression considerably increase model accuracy.
Raja Balasubramanian "Optimization of the spectral Neugebauer model for printer characterization," Journal of Electronic Imaging 8(2), (1 April 1999).
Published: 1 April 1999


Performance estimation of color printing models
Proceedings of SPIE (September 07 1998)
Calculation of best CMY basis functions
Proceedings of SPIE (January 02 1998)
Printer model for dot-on-dot halftone screens
Proceedings of SPIE (April 27 1995)
Innovative method for spectral-based printer characterization
Proceedings of SPIE (December 28 2001)

Back to Top