Abstract

We present a clustered-minority-pixel error-diffusion halftoning algorithm for which the quantizer threshold is modified on the basis of the past output and a dot activation map. Dot area, dot shape, and dot distribution are more controllable than with other clustered-dot halftone algorithms such as Levien’s algorithm. This method also effectively reduces structured mazelike artifacts in midtones that occur in Levien’s algorithm. The dot distribution is further improved by using different error-diffusion weights for different input gray levels.

© 2004 Optical Society of America

Multiresolution, error-convergence halftone algorithm

Eli Peli
J. Opt. Soc. Am. A 8(4) 625-636 (1991)

Multilevel screen design using direct binary search

Guo-Yau Lin and Jan P. Allebach
J. Opt. Soc. Am. A 19(10) 1969-1982 (2002)

Image halftoning using a visual model in error diffusion

J. Sullivan, R. Miller, and G. Pios
J. Opt. Soc. Am. A 10(8) 1714-1724 (1993)

Digital halftoning by means of green-noise masks

Daniel L. Lau, Gonzalo R. Arce, and Neal C. Gallagher
J. Opt. Soc. Am. A 16(7) 1575-1586 (1999)

Model-based error diffusion for high fidelity lenticular screening

Daniel L. Lau, Trebor Smith, and Trebor Smith
Opt. Express 14(8) 3214-3224 (2006)