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 |
|---|---|
| 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 |
|---|---|
| Country | Russian Federation |
| City | Tomsk |
| Period | 2.7.06 → 7.7.06 |
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Keywords
- Adaptive image processing
- Evolutive neural network
- Genetic algorithm
- Image enhancement
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics
Cite this
Image processing using evolutive neural network. / Chernyavsky, Alexander V.; Spitsyn, Vladimir G.; Tsoy, Yuri R.
Proceedings of SPIE - The International Society for Optical Engineering. Vol. 6522 2006. 652211.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Image processing using evolutive neural network
AU - Chernyavsky, Alexander V.
AU - Spitsyn, Vladimir G.
AU - Tsoy, Yuri R.
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
KW - Adaptive image processing
KW - Evolutive neural network
KW - Genetic algorithm
KW - Image enhancement
UR - http://www.scopus.com/inward/record.url?scp=33846243880&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33846243880&partnerID=8YFLogxK
U2 - 10.1117/12.723091
DO - 10.1117/12.723091
M3 - Conference contribution
SN - 0819466425
SN - 9780819466426
VL - 6522
BT - Proceedings of SPIE - The International Society for Optical Engineering
ER -