N -Ink Printer Characterization With Barycentric Subdivision

Printing with a large number of inks, also called N-ink printing, is a challenging task. The challenges comprise spectral modeling of the printer, color separation, halftoning, and limitations of the amount of inks. Juxtaposed halftoning, a perfectly dot-off-dot halftoning method, has proved to be u...

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Bibliographic Details
Published inIEEE transactions on image processing Vol. 25; no. 7; pp. 3023 - 3031
Main Authors Babaei, Vahid, Hersch, Roger D.
Format Journal Article
LanguageEnglish
Published United States IEEE 01.07.2016
Subjects
barycentric subdivision
Calibration
cellular Yule-Nielsen
Color
color prediction model
Image color analysis
Ink
Inks
interpolation
Mathematical model
Mathematical models
multi-channel printing
multi-material 3D print
point location problem
Predictive models
Printer characterization
Printers
Printing
Prints
simplex
Spectra
spectral modeling
Subdivisions
interpolation
point location problem
cellular Yule-Nielsen
simplex
multi-material 3D print
color prediction model
Printer characterization
multi-channel printing
spectral modeling
barycentric subdivision
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Summary:Printing with a large number of inks, also called N-ink printing, is a challenging task. The challenges comprise spectral modeling of the printer, color separation, halftoning, and limitations of the amount of inks. Juxtaposed halftoning, a perfectly dot-off-dot halftoning method, has proved to be useful to address some of these challenges. However, for juxtaposed halftones, prediction of colors as a function of ink area coverages has not yet been fully investigated. The goal of this paper is to introduce a spectral prediction model for N-ink juxtaposed-halftone prints. As the area-coverage domain of juxtaposed inks forms a simplex, we propose a cellular subdivision of the area-coverage domain using the barycentric subdivision of simplexes. The barycentric subdivision provides algorithmically straightforward means to design and implement an N -ink color prediction model. Within the subdomain cells, the Yule-Nielsen spectral Neugebauer model is used for the spectral prediction. Our proposed model is highly accurate for prints with a large number of inks while requiring a relatively low number of calibration samples.
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ISSN:1057-7149
1941-0042
DOI:10.1109/TIP.2016.2560526