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.
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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
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last edited on 12/4/01