You have requested a machine translation of selected content from our databases. This functionality is provided solely for your convenience and is in no way intended to replace human translation. Neither SPIE nor the owners and publishers of the content make, and they explicitly disclaim, any express or implied representations or warranties of any kind, including, without limitation, representations and warranties as to the functionality of the translation feature or the accuracy or completeness of the translations.
Translations are not retained in our system. Your use of this feature and the translations is subject to all use restrictions contained in the Terms and Conditions of Use of the SPIE website.
19 January 2009Data-driven spectral model for color gamut simulation
We present a new method to estimate color gamut from primary color spectra only. By using this method, the number of
prints and measurements for printer characterization is greatly reduced, which is of particular importance if there are
many ink candidates to be combined. The method consists in building a mapping between primary color spectra and their
combinations, based on a training set. The mapping is data-driven, without relying on assumptions based on classic
theoretical models. Furthermore, we study the effects of smoothing this mapping and its consequences in color
estimation accuracy. We tested the method on recently released Latex-based ink-jet ink, for different pigment and latex
loads. The mean simulation accuracy error, optimizing the smoothing parameter, was below 1.5 dE, and gamut
estimation error below 2% error. For pigment kinds, mean accuracy was below 4 dE, and gamut estimation error about
5%. In all cases, this new method outperforms other overprint estimation methods, such as Kubelka-Munk.
The alert did not successfully save. Please try again later.
Pau Soler, Ján Morovič, Howard Doumaux, "Data-driven spectral model for color gamut simulation," Proc. SPIE 7241, Color Imaging XIV: Displaying, Processing, Hardcopy, and Applications, 72410Y (19 January 2009); https://doi.org/10.1117/12.805940