Proceedings Paper
Image processing using evolutive neural network| Format | Member Price | Non-Member Price |
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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
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)
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)
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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