DocumentCode
1231417
Title
Printer models and error diffusion
Author
Pappas, Thrasyvoulos N. ; Neuhoff, David L.
Author_Institution
Signal Process. Res. Dept., AT&T Bell Labs., Murray Hill, NJ, USA
Volume
4
Issue
1
fYear
1995
fDate
1/1/1995 12:00:00 AM
Firstpage
66
Lastpage
80
Abstract
A new model-based approach to digital halftoning is proposed. It is intended primarily for laser printers, which generate “distortions” such as “dot overlap”. Conventional methods, such as clustered-dot ordered dither, resist distortions at the expense of spatial and gray-scale resolution. The proposed approach relies on printer models that predict distortions, and rather than merely resisting them, it exploits them to increase, rather than decrease, both spatial and gray-scale resolution. We propose a general framework for printer models and find a specific model for laser printers. As an example of model-based halftoning, we propose a modification of error diffusion, which is often considered the best halftoning method for CRT displays with no significant distortions. The new version exploits the printer model to extend the benefits of error diffusion to printers. Experiments show that it provides high-quality reproductions with reasonable complexity. The proposed modified error diffusion technique is compared with Stucki´s (1981) MECCA, which is a similar but not widely known technique that accounts for dot overlap. Model-based halftoning can be especially useful in transmission of high-quality documents using high-fidelity gray-scale image encoders
Keywords
error correction codes; image processing; laser printers; printers; CRT displays; MECCA; digital halftoning; distortion prediction; error diffusion; gray-scale image encoders; gray-scale resolution; high-quality reproductions; laser printers; model-based halftoning; multiple-error correction computation algorithm; printer models; spatial resolution; Displays; Gray-scale; Image storage; Laser modes; Laser noise; Predictive models; Printers; Printing; Resists; Spatial resolution;
fLanguage
English
Journal_Title
Image Processing, IEEE Transactions on
Publisher
ieee
ISSN
1057-7149
Type
jour
DOI
10.1109/83.350813
Filename
350813
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