Tone-dependent error diffusion

Author

Li, Pingshan ; Allebach, Jan P.

Author_Institution

Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA

Volume

13

Issue

2

fYear

2004

Firstpage

201

Lastpage

215

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;

fLanguage

English

Journal_Title

Image Processing, IEEE Transactions on

Publisher

ieee

ISSN

1057-7149

Type

jour

DOI

10.1109/TIP.2003.819232

Filename

1278335