Tone-dependent error diffusion
Pingshan Li, Jan P. Allebach · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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.