Halftoning for appearance printing
Host Institution: LIU
Main Supervisor:
- Sasan Gooran (LIU)
Co-Supervisor(s):
- Daniel Nyström (LIU)
- Nur Arad (STRAT)
Objectives
Develop novel methods for structure-based halftoning, adaptively changing the halftone shape and dot size based on the image content and
structure, to better mimic a specific surface structure for realistic appearance printing.
- Identify structures and patterns of images and surfaces that are connected to the appearance.
- Develop structure-based halftoning models that incorporate image structures, to better mimic appearance of different surfaces and materials.
- Adapt the halftoning model to the new inks and colour mixing used in 2.5D print production.
- Extend the halftoning model to determining the optimal 3D dot placement, controlling both the colour properties, and the surface height variation in 2.5D appearance printing.
ESR Recruited