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Proceedings Paper

New applications of the nonlinear cellular neural filters in image processing
Author(s): Igor N. Aizenberg; Naum N. Aizenberg; Jaakko T. Astola; Taras Bregin; Constantine Butakov; Karen O. Egiazarian
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Paper Abstract

Nonlinear cellular neural filters (NCNF) were introduced recently. They are based on the complex non-linearity of multi-valued and universal binary neurons. NCNF include multi- valued filters and cellular neural Boolean filters. Applications of the NCNF to noise reduction, extraction of image details and precise edge detection have been considered recently. This paper develops the previous ideas and presents the new results. The following problems are considered in the paper: (1) Solution of the Super-resolution problem using iterative extrapolation of the orthogonal spectra and final correction of the resulting image using NCNF; (2) Precise edge detection using NCNF within a 5 X 5 window and precise edge detection for the color images.

Paper Details

Date Published: 3 March 2000
PDF: 12 pages
Proc. SPIE 3961, Nonlinear Image Processing XI, (3 March 2000); doi: 10.1117/12.379401
Show Author Affiliations
Igor N. Aizenberg, Neural Networks Technologies, Ltd. (Israel)
Naum N. Aizenberg, Neural Networks Technologies, Ltd. (Israel)
Jaakko T. Astola, Tampere Univ. of Technology (Finland)
Taras Bregin, Neural Networks Technologies, Ltd. (Israel)
Constantine Butakov, Neural Networks Technologies, Ltd. (Israel)
Karen O. Egiazarian, Tampere Univ. of Technology (Finland)


Published in SPIE Proceedings Vol. 3961:
Nonlinear Image Processing XI
Edward R. Dougherty; Jaakko T. Astola, Editor(s)

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