Computer Engineering and Applications ›› 2021, Vol. 57 ›› Issue (13): 207-211.DOI: 10.3778/j.issn.1002-8331.2004-0191

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Dark Channel Prior Defogging Algorithm for Adaptive Correction Transmittance

WANG Shuo, CHEN Jinyu   

  1. College of Automation, Chongqing University, Chongqing 400044, China
  • Online:2021-07-01 Published:2021-06-29



  1. 重庆大学 自动化学院,重庆 400044


Aiming at the problem that the foggy image restored by the dark channel prior algorithm produces color distortion and artifacts in the sky area, this paper proposes a new method that calculates dark channel confidence to correct the transmittance of the scene. The scene with higher saturation and lower brightness will more meet the hypothesis of dark channel prior. Combining the characteristics of saturation and brightness of foggy images, a dark channel confidence calculation method based on Gaussian function and adaptive parameter is designed to correct the transmittance of the scene. Experimental results show that the algorithm of the paper can effectively solve the problem of dark channel prior failure in the sky area, restore the image with natural colors, and there is no color distortion and artifacts.

Key words: image dehazing, dark channel prior, transmittance, atmospheric light value



关键词: 图像去雾, 暗通道先验, 透射率, 大气光值