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Proceedings Paper

Image enhancement using the iterative learning approach
Author(s): Tesfay Yohannes
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Paper Abstract

This paper introduces a new iterative learning algorithm for image enhancement. The proposed approach is a hybrid of deterministic learning automata and iterative learning principles. This hybrid iterative learning algorithm is based on repeatability process that tracks the desired trajectory or restores the original image. It has an iterative learning structure such that the next input consists of a combination of all previous inputs and errors. The desired trajectory or image is achieved by iteratively minimizing the error to an acceptable tolerance.

Paper Details

Date Published: 20 October 1997
PDF: 8 pages
Proc. SPIE 3238, Current Ukrainian Research in Optics and Photonics: Optoelectronic and Hybrid Optical/Digital Systems for Image Processing, (20 October 1997); doi: 10.1117/12.284785
Show Author Affiliations
Tesfay Yohannes, Naval Undersea Warfare Ctr. (United States)


Published in SPIE Proceedings Vol. 3238:
Current Ukrainian Research in Optics and Photonics: Optoelectronic and Hybrid Optical/Digital Systems for Image Processing
Simon B. Gurevich; Roman S. Batchevsky; Leonid I. Muravsky, Editor(s)

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