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Proceedings Paper

Neural network adaptive digital image screen halftoning (DISH) based on wavelet transform preprocessing
Author(s): Harold H. Szu; Yingping Zhang; Mingui Sun; Ching-Chung Li
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Paper Abstract

Artificial neural networks (ANN) can be used to process digital image screen halftoning (DISH), designed to be adaptive to the local variation of image intensity based on the wavelet transform (WT) preprocessing of the local gradient at each pixel. Our preliminary digital simulation results have shown an improved multiresolution visual effect of the bilevel representation of a gray-scale image. An interesting device concept is to build a fast 'WT chip' of order (N) with a smart 'neurochip' for DISH applications, in order to achieve an nonuniformly enhanced dot matrix printing.

Paper Details

Date Published: 15 March 1994
PDF: 4 pages
Proc. SPIE 2242, Wavelet Applications, (15 March 1994); doi: 10.1117/12.170080
Show Author Affiliations
Harold H. Szu, Naval Surface Warfare Ctr. (United States)
Yingping Zhang, Univ. of Pittsburgh (United States)
Mingui Sun, Univ. of Pittsburgh (United States)
Ching-Chung Li, Univ. of Pittsburgh (United States)


Published in SPIE Proceedings Vol. 2242:
Wavelet Applications
Harold H. Szu, Editor(s)

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