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Proceedings Paper

Image processing using evolutive neural network
Author(s): Alexander V. Chernyavsky; Vladimir G. Spitsyn; Yuri R. Tsoy
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Paper Abstract

The paper present a neuroevolutionary method of monochrome and color images enhancement. The proposed method is based on local-adaptive approach to image processing. Neural network is tuned to perform enhancement of particular image using genetic algorithm with use of the generalized image evaluation criterion that relies on the contrast degree of the processed image.

Paper Details

Date Published: 1 November 2006
PDF: 10 pages
Proc. SPIE 6522, Thirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics, 652211 (1 November 2006); doi: 10.1117/12.723091
Show Author Affiliations
Alexander V. Chernyavsky, Tomsk Polytechnic Univ. (Russia)
Vladimir G. Spitsyn, Tomsk Polytechnic Univ. (Russia)
Yuri R. Tsoy, Tomsk Polytechnic Univ. (Russia)


Published in SPIE Proceedings Vol. 6522:
Thirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics
Gennadii G. Matvienko; Victor A. Banakh, Editor(s)

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