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Multilevel Halftoning and Color Separation for Eight-Channel Printing
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Image Reproduction & Graphic Design)ORCID iD: 0000-0002-7305-956X
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Image Reproduction & Graphic Design)
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering. (Image Reproduction & Graphic Design)
2016 (English)In: Journal of Imaging Science and Technology, ISSN 1062-3701, E-ISSN 1943-3522, Vol. 60, no 5, 1-9 p., 50403Article in journal (Refereed) Published
Abstract [en]

Multichannel printing employs additional colorants to achieve higher quality reproduction, assuming their physical overlap restrictions are met. These restrictions are commonly overcome in the printing workflow by controlling the colorant choice at each point. Our multilevel halftoning algorithm bundles inks of same hues in one channel with no overlap, separating them into eight channels, consequentially benefitting of increased ink options at each point. In this article, implementation and analysis of the algorithm is carried out. Color separation is performed using the cellular Yule‐Nielsen modified spectral Neugebauer model. The channels are binarized with the multilevel halftoning algorithm. The workflow is evaluated with an eight-channel inkjet at 600 dpi resulting in mean and maximum ΔE 94 color differences around 1 and 2, respectively. The halftoning algorithm is analyzed using S-CIELAB, thus involving the human visual system, in which multilevel halftoning showed improvement in terms of image quality compared to the conventional approach.

Place, publisher, year, edition, pages
The Society for Imaging Science and Technology, 2016. Vol. 60, no 5, 1-9 p., 50403
National Category
Media Engineering
Identifiers
URN: urn:nbn:se:liu:diva-132551DOI: 10.2352/J.ImagingSci.Technol.2016.60.5.050403OAI: oai:DiVA.org:liu-132551DiVA: diva2:1046362
Available from: 2016-11-14 Created: 2016-11-14 Last updated: 2016-11-21Bibliographically approved

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Zitinski Elias, PaulaGooran, SasanNyström, Daniel
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