Journal of Xidian University ›› 2019, Vol. 46 ›› Issue (2): 164-169.doi: 10.19665/j.issn1001-2400.2019.02.027

Previous Articles     Next Articles

Novel image defogging algorithm for sky region segmentation correction

BAO Wanting,WANG Junping,WEI Shulei,LI Yanbo,ZHOU Yong   

  1. School of Telecommunications Engineering, Xidian Univ., Xi’an 710071, China
  • Received:2018-09-02 Online:2019-04-20 Published:2019-04-20

Abstract:

In order to solve the problems of the detailed information loss, the low atmospheric light intensity estimation and the poor defogging effect in the sky region based on the dark channel prior image defogging algorithm, this paper proposes a new color image defogging algorithm for sky region segmentation correction. Based on the dark channel prior algorithm, the dark channel and bright channel prior model is linearly weighted with a parameter. This paper also proposes a new sky region correction model based on weighted average fusion of the COPLIP model and the MSR model. Compared with the existing dehazing algorithm, experimental results show that the new algorithm can overcome the problem of poor effect in the sky region. In addition, the paper also validates the effectiveness of the new algorithm by objective evaluation indicators.

Key words: image defogging, parameter-driven, sky region segmentation correction, image fusion

CLC Number: 

  • TP391.41