University of Delaware - College of Engineering
ELECTRICAL & COMPUTER ENGINEERING

Research

Communication & Signal Processing

Multi-tone blue noise dithering

Gonzalo Arce

Illustration of a suboptimal 8-bit blue noise multitone with various artifacts.

Blue noise dithering – high frequency white noise with minimal energy at low frequencies – has had a profound impact on digital ink-jet and laser image printing because it represents an optimal distribution of black and white pixels for producing the illusion of a given shade of gray. The blue noise model, however, does not directly translated to printing multiple shades of gray by the placement of varying ink concentrations or various dot sizes. New device printer technologies allow for such multi-toning image quantization and our work aims at developing the corresponding optimal multi-tone blue noise spectral models, the corresponding dithering algorithms, and their fast implementation.

Recent publications

D. L. Lau, R. Ulichney, and G. R. Arce, "Blue and Green-Noise Halftoning Models," IEEE Signal Processing Magazine, 20, 4, pp. 28, July 2003.

D. L. Lau, G. R. Arce, and Neal C. Gallagher, "Green-Noise Digital Halftoning," Proceedings of the IEEE, 86, 12, pp. 2424 - 2444, December 1998.

D. Lau, A. Khan, and G. R. Arce, "Minimizing Stochastic Moire in FM Halftone by Means of Green-Noise-Masks," Journal of the Optical Society of America A, 19, 11, pp. 2203 - 2217, Nov. 2002.

Modern Digital Halftoning, Daniel L. Lau and Gonzalo R. Arce, CRC Press, New York NY, USA 2nd ed., to appear in 2007.


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