Title :
Tone-dependent error diffusion
Author :
Li, Pingshan ; Allebach, Jan P.
Author_Institution :
Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
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.
Keywords :
digital filters; image enhancement; image resolution; parallel processing; edge behavior; edge effects reduction; edge enhancements; error diffusion halftoning algorithm; filter weights; human visual system model; parallel processing; quantizer thresholds; start-up delay; tone dependent thresholds; tone-dependent error diffusion; variable weight locations; worms reduction; Clustering algorithms; Computer errors; Computer worms; Delay effects; Filters; Humans; Iterative methods; Satellite broadcasting; Sparse matrices; Visual system; Algorithms; Computer Simulation; Data Interpretation, Statistical; Hypermedia; Image Enhancement; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Models, Statistical; Printing; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Stochastic Processes;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2003.819232
