New applications of the nonlinear cellular neural filters in image processing

Igor N. Aizenberg; Naum N. Aizenberg; Jaakko T. Astola; Taras Bregin; Constantine Butakov; Karen O. Egiazarian

doi:10.1117/12.379401

3 March 2000 New applications of the nonlinear cellular neural filters in image processing

Igor N. Aizenberg, Naum N. Aizenberg, Jaakko T. Astola, Taras Bregin, Constantine Butakov, Karen O. Egiazarian

Author Affiliations +

Proceedings Volume 3961, Nonlinear Image Processing XI; (2000) https://doi.org/10.1117/12.379401
Event: Electronic Imaging, 2000, San Jose, CA, United States

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.

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Igor N. Aizenberg, Naum N. Aizenberg, Jaakko T. Astola, Taras Bregin, Constantine Butakov, and Karen O. Egiazarian "New applications of the nonlinear cellular neural filters in image processing", Proc. SPIE 3961, Nonlinear Image Processing XI, (3 March 2000); https://doi.org/10.1117/12.379401

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