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Publication
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Work with us on data science and visualisation projects, and deploy your project as an app on top of GraphSearch.
A model for color prediction of halftoned samples incorporating light scattering and ink spreading was presented. The spreading process was modeled by enlarging the drop impact according to the configuration of its neighbors and the state of the surface. The spectra of halftoned samples produced with one ink were predicted with an average prediction error or about δE=1.4 in CIELAB. For two halftoned ink layers, good spectral predictions were achieved with an average error of about δE=2.1 in CIELAB.
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