title: Clustered-minority-pixel error diffusion.
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.
authors.affiliation: Stoy Electronics Inc., 3300 Zanker Road, San Jose, California 95134, USA. pingshan.li@am.sony.com
authors.forename: Pingshan
authors.initials: P
authors.lastname: Li
authors.forename: Jan P
authors.initials: JP
authors.lastname: Allebach