• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

Computer Engineering & Science

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An adaptive fractional-order partial
differential image enhancement model

LI Weikai1,WANG Zhengxia1,JIANG Wei2   

  1. (1.School of Information Science and Engineering,Chongqing Jiaotong University,Chongqing 400074;
    2.College of Mathematics and Statistics,Chongqing Jiaotong University,Chongqing 400074,China)
  • Received:2016-10-02 Revised:2016-12-04 Online:2018-04-25 Published:2018-04-25

Abstract:

Aiming at the shortcoming that the conventional adaptive image enhancement algorithms based on fractionalorder partial differential equations have not good enhance performance on the dark texture region, taking into account the different sensitivity of the human eye to the light sensation, the impact of brightness on vision is combined with the conventional adaptive image enhancement algorithms based on fractionalorder partial differential equations. A new adaptive fractionalorder partial differential image enhancement model is established by using the gradient and gray value as parameters, which improves the shortcoming of the previous model in enhancing the dark region image. The average gradient of the enhanced image is increased significantly and the image’s visual effect is improved superiorly, which shows that the proposed algorithm has some validity.
 
 

Key words: image enhancement, fractional order, adaptive, partial differential equations, dark space image enhancement