Moiré-free color halftoning using hexagonal geometry and spot functions

Shen-ge Wang; Robert P. Loce

doi:10.1117/12.872899

25 January 2011 Moiréfree color halftoning using hexagonal geometry and spot functions

Shen-ge Wang, Robert P. Loce

Author Affiliations +

Proceedings Volume 7866, Color Imaging XVI: Displaying, Processing, Hardcopy, and Applications; 78661E (2011) https://doi.org/10.1117/12.872899
Event: IS&T/SPIE Electronic Imaging, 2011, San Francisco Airport, California, United States

Abstract

A halftone configuration is presented that utilizes three or four rotated hexagonal screens, or more precisely, screens with hexagonally tiled clusters, for moiré-free color printing. Halftone designers consider many options to deliver a screen with desirable characteristics, and often must settle for less than desirable results. The present method presents a new option with several beneficial properties compared to conventional square-cell-based screens. Hexagonal screens can appear to have smoother texture. Due to differences in packing geometry and touch point geometry, hexagons have the potential to possess different tone reproduction characteristics, which may be favorable for some marking processes. A fourth screen (e.g., yellow) can be included moiré-free, thereby avoiding problems associated with stochastic solutions for yellow. We also present a corresponding parametrically controlled hexagonal halftone spot function that allows for optimization of dot touch points and provides compact growth. The optimized touch points can prevent a tone reproduction bump, while the compact growth throughout the gray range ensures maximum stability. Examples are provided.

Citation Download Citation

Shen-ge Wang and Robert P. Loce "Moiréfree color halftoning using hexagonal geometry and spot functions", Proc. SPIE 7866, Color Imaging XVI: Displaying, Processing, Hardcopy, and Applications, 78661E (25 January 2011); https://doi.org/10.1117/12.872899

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KEYWORDS

Halftones

Printing

Control systems

Color printing

Virtual colonoscopy

Stochastic processes

Binary data

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