GREEN-NOISE DIGITAL HALFTONING
Daniel Leo Lau, Gonzalo R. Arce and Neal C. Gallagher

ABSTRACT: In this paper, we introduce the concept of green-noise, the mid-frequency component of white-noise, and its advantages over blue-noise for digital halftoning. Unlike blue-noise, which creates the illusion of continuous tone by spreading the minority pixels of a binary dither pattern as homogeneously as possible, green-noise forms minority pixel clusters which are themselves distributed as homogeneously as possible. By clustering pixels, green-noise patterns are less susceptible to image degradation from printer distortions such as dot-overlap (the overlapping of a printed dot with its nearest neighbors), and by adjusting the average number of pixels per cluster, green-noise patterns are tunable to specific printer characteristics. Using both spectral and spatial statistics, we establish models for ideal green-noise patterns.

APPEARED: 1998 International Conference on Image Processing, Chicago, Il. USA, October 4-7, 1998.

COPYRIGHT: Copyright 1998 IEEE. Published in the 1998 International Conference on Image Processing (ICIP'98), scheduled for October 4-7, 1998 in Chicago, Il. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works, must be obtained from the IEEE. Contact: Manager, Copyrights and Permissions / IEEE Service Center / 445 Hoes Lane / P.O. Box 1331 / Piscataway, NJ 08855-1331, USA. Telephone: + Intl. 908-562-3966.

SPONSORS: This work was sponsored, in part, by the National Science Foundation under grant CDA-9703088





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

last edited on 12/4/01