Daniel L. Lau, Arif M. Khan, and Gonzalo R. Arce

ABSTRACT: Green-noise halftoning is a stochastic halftoning technique where the minority pixels of a binary dither pattern form homogeneously distributed pixel clusters. While clustering pixels increases its visibility, green-noise reduces the perimeter-to-area ratio of printed dots, thereby reducing the effects of printer distortions such as dot-gain and dot-loss. Using a stochastic dot model, several techniques are introduced for improving the spatial resolution of error diffusion with output-dependent feedback, a commonly used technique for generating green-noise halftone patterns.

APPEARED: 2001 Image Processing, Image Quality, Image Capture Systems Conference, Montreal, Canada, April 25-28, 2001.

SPONSORS: This work was sponsored, in part, by Lexmark International Inc.

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

last edited on 12/1/01