Abstract
The paper present a neuroevolutionary method of monochrome and color images enhancement. The proposed method is based on local-adaptive approach to processing color components of image. 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 | GraphiCon 2007 - International Conference on Computer Graphics and Vision, Proceedings |
| Publication status | Published - 2007 |
| Event | 17th International Conference on Computer Graphics and Vision, GraphiCon 2007 - Moscow, Russian Federation Duration: 23 Jun 2007 → 27 Jun 2007 |
Other
| Other | 17th International Conference on Computer Graphics and Vision, GraphiCon 2007 |
|---|---|
| Country | Russian Federation |
| City | Moscow |
| Period | 23.6.07 → 27.6.07 |
Fingerprint
Keywords
- Adaptive image processing
- Evolutive neural network
- Genetic algorithm
- Image enhancement
ASJC Scopus subject areas
- Computer Graphics and Computer-Aided Design
- Computer Vision and Pattern Recognition
Cite this
Neiroevolutionary approach for color image enhancement. / Chernyavsky, Alexander V.; Spitsyn, Vladimir G.; Tsoy, Yuri R.
GraphiCon 2007 - International Conference on Computer Graphics and Vision, Proceedings. 2007.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Neiroevolutionary approach for color image enhancement
AU - Chernyavsky, Alexander V.
AU - Spitsyn, Vladimir G.
AU - Tsoy, Yuri R.
PY - 2007
Y1 - 2007
N2 - The paper present a neuroevolutionary method of monochrome and color images enhancement. The proposed method is based on local-adaptive approach to processing color components of image. 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 processing color components of image. 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=84871258556&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84871258556&partnerID=8YFLogxK
M3 - Conference contribution
BT - GraphiCon 2007 - International Conference on Computer Graphics and Vision, Proceedings
ER -