Neiroevolutionary approach for color image enhancement

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

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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 languageEnglish
Title of host publicationGraphiCon 2007 - International Conference on Computer Graphics and Vision, Proceedings
Publication statusPublished - 2007
Event17th International Conference on Computer Graphics and Vision, GraphiCon 2007 - Moscow, Russian Federation
Duration: 23 Jun 2007 → 27 Jun 2007

Other

Other17th International Conference on Computer Graphics and Vision, GraphiCon 2007
CountryRussian Federation
CityMoscow
Period23.6.07 → 27.6.07

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

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    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