title: Tone-dependent error diffusion.
abstract: We present an enhanced error diffusion halftoning algorithm for which the filter weights and the quantizer thresholds vary depending on input pixel value. The weights and thresholds are optimized based on a human visual system model. Based on an analysis of the edge behavior, a tone dependent threshold is designed to reduce edge effects and start-up delay. We also propose an error diffusion system with parallel scan that uses variable weight locations to reduce worms.
authors.affiliation: School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907-1285 USA. pingshan@usrl.sony.com
authors.forename: Pingshan
authors.initials: P
authors.lastname: Li
authors.forename: Jan P
authors.initials: JP
authors.lastname: Allebach
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003627:Data Interpretation, Statistical; D019146:Hypermedia; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D015233:Models, Statistical; D011327:Printing / Q000379:methods*; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D012815:Signal Processing, Computer-Assisted; D013269:Stochastic Processes