Books

MODERN DIGITAL HALFTONING
Daniel L. Lau and Gonzalo R. Arce
Marcel Dekker, New York NY, USA 2001.

DESCRIPTION: This book focuses on stochastic halftoning algorithms and considers various approaches to digital monochrome and color halftoning, describing ideal spatial and spectral characteristics of green- and blue-noise halftoning that provide patterns of visual appeal and computational complexity in a wide range of printing technologies, and theoretical tools to analyze and design green-noise, blue-noise, and set designed masks. Includes a state-of-the-art CD-ROM of algorithms and statistics with crisp color examples, and an accompanying guide in pdf format with instructions to run software on MATLAB¯ 5.0 for converting digital images to halftones!

Chapter 13:DIGITAL HALFTONING
Daniel L. Lau and Gonzalo R. Arce

DESCRIPTION: This state-of-the-art book deals with the most important aspects of nonlinear imaging challenges. The need for engineering and mathematical methods is essential for defining nonlinear effects involved in such areas as computer vision, optical imaging, computer pattern recognition, and industrial automation challenges.

APPEARED: S. K. Mitra and G. L. Sicuranza, Nonlinear Image Processing, Academic Press, London UK, 2001.
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Journal Publications

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

PARTIAL 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.

APPEARED: Proceedings of the IEEE, vol. 86, no. 12, pp. 2424-2442, Dec 1998.

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

PARTIAL ABSTRACT: In this paper, we introduce a novel technique for generating green-noise halftones--stochastic dither patterns composed of homogeneously distributed pixel clusters.

APPEARED: Journal of the Optical Society of America A, vol. 16, no. 7, pp. 1575-1586, July 1999..

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

PARTIAL 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.

APPEARED: IEEE Transactions on Image Processing, May 2000.

MINIMIZING STOCHASTIC MOIRE IN FM HALFTONE BY MEANS OF GREEN-NOISE MASKS
Daniel L. Lau, Arif M. Khan, and Gonzalo R. Arce

PARTIAL ABSTRACT: In this paper, we minimize the visible interference pattern created when two stochastic dither patterns are superimposed by varying the coarseness between the component patterns.

APPEARED: Journal of the Optical Society of America A, vol. 19, no. 11, pp. 2203-2217, Nov. 2002.

DIGITAL MULTITONING USING GRAY LEVEL SEPARATION
Faraz Faheem, Daniel L. Lau, and Gonzalo R. Arce

PARTIAL ABSTRACT: In this article, a novel multitoning algorithm is introduced that can control the amount of printable gray level pixels, represents a particular shade of gray, by using gray level transformation.

APPEARED: The Journal of Imaging Science and Technology, vol. 46, no. 5, pp. 385-397, Sept./Oct. 2002,.

BLUE- AND GREEN-NOISE HALFTONING MODELS
Daniel L. Lau, Robert Ulichney, and Gonzalo R. Arce

PARTIAL ABSTRACT: In this article, we review the spatial and spectral characteristics of blue- and gree-noise halftoning models.

APPEARED: IEEE Signal Processing Magazine, vol. 20, no. 4, pp. 28-28, July 2003.


Conference Publications

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

PARTIAL 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.

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

ROBUST HALFTONING WITH GREEN-NOISE
Daniel L. Lau, Gonzalo R. Arce and Neal C. Gallagher

PARTIAL ABSTRACT: In this paper 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: 1999 Image Processing, Image Quality, Image Capture Systems Conference, Savannah, Ga. USA, April 26-28, 1999.

DIGITAL HALFTONING USING GREEN-NOISE MASKS
Daniel L. Lau and Gonzalo R. Arce

PARTIAL ABSTRACT: In this paper, we introduce a novel technique for generating green-noise halftones-stochastic dither patterns composed of homogeneously distributed pixel clusters.

APPEARED: 1999 IS&T's NIP15 -- Digital Printing Technologies, Orlando, Fl. USA, October 17-22, 1999.

PARTIAL ABSTRACT: In this paper, we study the effects of changing the average cluster size in a green-noise dither pattern, measuring the resulting spatial variations in a Lexmark Optra laser printer.

APPEARED: 2000 IS&T's and SPIE's Electronic Imaging Expo, San Jose, Ca. USA, January 22-28.

PARTIAL ABSTRACT: In this paper, we introduce a novel technique for digital color halftoning with green-noise, stochastic dither patterns composed of homogeneously distributed minority pixel clusters.

APPEARED: 2000 Image Processing, Image Quality, Image Capture Systems Conference, Portland Wa, USA, March, 2000.

STOCHASTIC MOIRÉ
Daniel L. Lau, Arif M. Khan, Gonzalo R. Arce

PARTIAL ABSTRACT: In this paper, we study the effects of changing the average cluster size in a green-noise dither pattern, measuring the resulting spatial variations in a Lexmark Optra laser printer.

APPEARED: 2001 Image Processing, Image Quality, Image Capture Systems Conference, Montreal, Canada, April 22-25, 2001.

MULTILEVEL HALFTONING USING BILEVEL QUANTIZATION
Faraz Faheem, Daniel L. Lau, and Gonzalo R. Arce

PARTIAL ABSTRACT: In this paper, a novel halftoning algorithm, based on gray level separation, has been introduced and tested on gray scale ramps, using trilevel halftoning.

APPEARED: 2001 Image Processing, Image Quality, Image Capture Systems Conference, Montreal, Canada, April 22-25, 2001.


Dissertations

PARTIAL ABSTRACT: In this dissertation, we study a new generation of halftoning techniques: green-noise--AM-FM hybrids composed of randomly distributed and randomly shaped minority pixel clusters that vary in both their spacing between and in their shape according to tone.

APPEARED: Ph.D.E.E. Dissertation, University of Delaware, Newark, DE. USA, March 1999.

MINIMIZING STOCHASTIC MOIRÉ IN GREEN-NOISE HALFTONES
Arif M. Khan

APPEARED: MS.E.E. Thesis, University of Delaware, Newark, DE. USA, January 2002.

MULTILEVEL HALFTONING USING BI-LEVEL QUANTIZATION
Faraz Faheem

APPEARED: MS.E.E. Thesis, University of Delaware, Newark, DE. USA, January 2002.





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 8/5/03