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.
Original language | English |
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Title of host publication | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 6522 |
DOIs | |
Publication status | Published - 2006 |
Event | Thirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics - Tomsk, Russian Federation Duration: 2 Jul 2006 → 7 Jul 2006 |
Other
Other | Thirteenth Joint International Symposium on Atmospheric and Ocean Optics/ Atmospheric Physics |
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Country | Russian Federation |
City | Tomsk |
Period | 2.7.06 → 7.7.06 |
Keywords
- Adaptive image processing
- Evolutive neural network
- Genetic algorithm
- Image enhancement
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics