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Robust estimation algorithm for spectral Neugebauer models

[+] Author Affiliations
Carlos Lana, Mario Rotea

Purdue University, School of Aeronautics and Astronautics, West Lafayette, Indiana?47907, USA E-mail: rotea@purdue.edu

Daniel E. Viassolo

Wilson Center for Research & Technology, Xerox Corporation, Webster, New York?14580, USA

J. Electron. Imaging. 14(1), 013001 (Apr. 6, 2005). doi:10.1117/1.1877532
History: Received Dec. 17, 2003; Revised Jun. 15, 2004; Accepted Jun. 15, 2004; Apr. 6, 2005; Online April 07, 2005
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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 SPIE and IS&T.

© 2005 SPIE and IS&T

Topics

Reflectivity

Citation

Carlos Lana ; Mario Rotea and Daniel E. Viassolo
"Robust estimation algorithm for spectral Neugebauer models", J. Electron. Imaging. 14(1), 013001 (Apr. 6, 2005). ; http://dx.doi.org/10.1117/1.1877532


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