DIGITAL COLOR HALFTONING WITH GENERALIZED ERROR-DIFFUSION AND GREEN-NOISE MASKS
Daniel Leo Lau, Gonzalo R. Arce and Neal C. Gallagher

ABSTRACT: In this paper, we introduce two novel techniques for digital color halftoning with green-noise--stochastic dither patterns generated by homogeneously distributing minority pixel clusters. The first technique employs error diffusion with output-dependent feedback where, unlike monochrome image halftoning, an interference term is added such that the overlapping of pixels of different colors can be regulated for increased color control. The second technique uses a green-noise mask, a dither array designed to create green-noise halftone patterns, which has been constructed to also regulate the overlapping of different colored pixels. As is the case with monochrome image halftoning, both techniques are tunable, allowing for large clusters in printers with high dot-gain characteristics, and small clusters in printers with low dot-gain characteristics.

APPEARED: IEEE Transactions on Image Processing, vol. 9, no. 5, pp. 923–935, May 2000.

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





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 3/3/03