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Proceedings Paper

Neural structures in digital halftoning
Author(s): Thomas Tuttass; Manfred Broja; Olof Bryngdahl
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Paper Abstract

Neural nets present various possibilities for local and global processing in digital halftoning. For global processing the Hopfield-type network was examined for its usage. The constraints concerning this model are presented and their effects for the binarization problem are shown. The numerical description leads to a basic parallelism to the well known iterative Fourier transform algorithm (IFTA), applied in digital halftoning.

Paper Details

Date Published: 30 October 1992
PDF: 7 pages
Proc. SPIE 1812, Optical Computing and Neural Networks, (30 October 1992); doi: 10.1117/12.131194
Show Author Affiliations
Thomas Tuttass, Univ. Essen (Germany)
Manfred Broja, Univ. Essen (Germany)
Olof Bryngdahl, Univ. Essen (Germany)


Published in SPIE Proceedings Vol. 1812:
Optical Computing and Neural Networks
Ken Yuh Hsu; Hua-Kuang Liu, Editor(s)

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