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