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Three-Dimensional Adaptive Digital Halftoning
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
Linköping University, Department of Science and Technology, Media and Information Technology. Linköping University, Faculty of Science & Engineering.
2022 (English)In: Journal of Imaging Science and Technology, ISSN 1062-3701, E-ISSN 1943-3522, Vol. 66, no 6, article id 060403Article in journal (Refereed) Published
Abstract [en]

Two-and-a-half and 3D printing are becoming increasingly popular, and consequently the demand for high quality surface reproduction is also increasing. Halftoning plays an important role in the quality of the surface reproduction. Three dimensional halftoning methods, that adapt the halftone structures to the geometrical structure of 3D surfaces or to the viewing direction, could further improve surface reproduction quality. In this paper, a 3D adaptive halftoning method is proposed, that incorporates different halftone structures on the same 3D surface. The halftone structures are firstly adapted to the 3D geometrical structure of the surface. Secondly, the halftone structures are adapted based on the normal vector to the surface at a specific voxel. Two simple approaches to approximate the normal vector are also proposed. The problem of edge artefacts that might occur in the previously proposed 3D Iterative Method Controlling the Dot Placement (IMCDP) halftoning method is discussed and a solution to reduce these artefacts is given. The results show that the proposed adaptive halftoning can combine different halftone structures on the same 3D surface with no transition artefacts between different halftone structures. It is also shown that using second-order frequency modulation (FM) halftone, in comparison to first-order FM, can result in more homogeneous appearance of 3D surfaces with undesirable structures on them. (C) 2022 Society for Imaging Science and Technology.

Place, publisher, year, edition, pages
I S & T-SOC IMAGING SCIENCE TECHNOLOGY , 2022. Vol. 66, no 6, article id 060403
National Category
Media Engineering
Identifiers
URN: urn:nbn:se:liu:diva-192706DOI: 10.2352/J.ImagingSci.Technol.2022.66.6.060403ISI: 000939908300010OAI: oai:DiVA.org:liu-192706DiVA, id: diva2:1747796
Note

Funding Agencies|ApPEARS (Appearance Printing European Advanced Research School); European Union?s Horizon 2020 programme under the Marie Sk?odowska- Curie [814158]

Available from: 2023-03-31 Created: 2023-03-31 Last updated: 2023-03-31

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CiteExportLink to record
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Citation style
  • apa
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