Tone-dependent error diffusion.
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.
Li
Pingshan
P
School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907-1285 USA. pingshan@usrl.sony.com
Allebach
Jan P
JP
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