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 |
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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
Chernyavsky, A. V., Spitsyn, V. G., & Tsoy, Y. R. (2007). Neiroevolutionary approach for color image enhancement. In GraphiCon 2007 - International Conference on Computer Graphics and Vision, Proceedings