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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/bfb004...
Part of book or chapter of book . 2006 . Peer-reviewed
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Advances in digital image processing for document reproduction

Authors: Peter Stucki;

Advances in digital image processing for document reproduction

Abstract

The properties of conventional, ordered dot-pattern generation techniques for bi-level halftone representation are examined and compared with the properties of error-diffusion-based, disordered dot-pattern-generation algorithms. The various processing steps necessary for adaptation of the disordered halftone pattern-generation technique to digital image hardcopy reproduction with non-ideal computer-output printing devices are described. It includes procedures for spatial distribution of thresholding errors, suppression of dot-density artifacts and compensation for dot overlap. These procedures represent the core of a Multiple-Error Correction Computation Algorithm called MECCA, the objective of which is to linearize the non-ideal printing process in order to minimize the loss or shift of tonal gradations. Finally, the performance of MECCA is compared with a conventional digital screening technique, and the various reproduction-quality versus computational-complexity trade-offs are discussed.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Top 10%
Top 10%
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