The green-noise mask is a dithering array designed to create green-noise halftone patterns – binary dither patterns composed of homogeneously distributed minority pixel clusters. As a point operation, halftoning with green-noise masks offers the minimum in computational complexity. Like the green-noise model itself, the construction of green-noise masksis a tunable procedure and can, therefore, construct masks for a wide range of printing devices.
In this project, we will establish optimal criteria for the construction of green-noise masks for a specific printing device. The ultimate goal is to construct a green-noise mask that minimizes tone compression without sacrificing an unnecessary amount of spatial detail.
Project Goals:
For a given printing device, generate the ideal green-noise mask.
Dr. Daniel Leo Lau
Department of Electrical and Computer Engineering
University of Kentucky
453 Anderson Hall
Lexington, KY 40506-0046, USA
(859) 257-2300 x273 dllau@engr.uky.edu
The green-noise mask is a dithering array designed to create green-noise halftone patterns – binary dither patterns composed of homogeneously distributed minority pixel clusters. As a point operation, halftoning with green-noise masks offers the minimum in computational complexity. Like the green-noise model itself, the construction of green-noise masksis a tunable procedure and can, therefore, construct masks for a wide range of printing devices.
