首页    期刊浏览 2024年09月20日 星期五
登录注册

文章基本信息

  • 标题:Image Fuzzy Enhancement Based on Self-Adaptive Bee Colony Algorithm
  • 作者:Reza Ilka ; S. Asghar Gholamian
  • 期刊名称:TELKOMNIKA (Telecommunication Computing Electronics and Control)
  • 印刷版ISSN:2302-9293
  • 出版年度:2012
  • 卷号:10
  • 期号:4
  • 页码:715-724
  • 语种:English
  • 出版社:Universitas Ahmad Dahlan
  • 摘要:In the image acquisition or transmission, the image may be damaged and distorted due to various reasons; therefore, in order to satisfy people’s visual effects, these images with degrading quality must be processed to meet practical needs. Integrating artificial bee colony algorithm and fuzzy set, this paper introduces fuzzy entropy into the self-adaptive fuzzy enhancement of image so as to realize the self-adaptive parameter selection. In the meanwhile, based on the exponential properties of information increase, it proposes a new definition of fuzzy entropy and uses artificial bee colony algorithm to realize the self-adaptive contrast enhancement under the maximum entropy criterion. The experimental result shows that the method proposed in this paper can increase the dynamic range compression of the image, enhance the visual effects of the image, enhance the image details, have some color fidelity capacity and effectively overcome the deficiencies of traditional image enhancement methods.
Loading...
联系我们|关于我们|网站声明
国家哲学社会科学文献中心版权所有