Image processing using evolutive neural network

Alexander V. Chernyavsky; Vladimir G. Spitsyn; Yuri R. Tsoy

doi:10.1117/12.723091

1 November 2006 Image processing using evolutive neural network

Alexander V. Chernyavsky, Vladimir G. Spitsyn, Yuri R. Tsoy

Author Affiliations +

Proceedings Volume 6522, Thirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics; 652211 (2006) https://doi.org/10.1117/12.723091
Event: Thirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics, 2006, Tomsk, Russian Federation

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.

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Alexander V. Chernyavsky, Vladimir G. Spitsyn, and Yuri R. Tsoy "Image processing using evolutive neural network", Proc. SPIE 6522, Thirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics, 652211 (1 November 2006); https://doi.org/10.1117/12.723091

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