• Chinese Journal of Lasers
  • Vol. 46, Issue 8, 0810003 (2019)
Zhendong Wang1、2, Xu Jing1、*, Guodong Sun1, Yilun Cheng1、2, Lulu Yu1、2, Wenlu Guan1、2, Laian Qin1, Fengfu Tan1, Silong Zhang1, Feng He1, and Zaihong Hou1、**
Author Affiliations
  • 1 Key Laboratory of Atmospheric Optics, Anhui Institute of Optics and Fine Mechanics,Chinese Academy of Sciences, Hefei, Anhui 230031, China
  • 2 University of Science and Technology of China, Hefei, Anhui 230026, China
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    DOI: 10.3788/CJL201946.0810003 Cite this Article Set citation alerts
    Zhendong Wang, Xu Jing, Guodong Sun, Yilun Cheng, Lulu Yu, Wenlu Guan, Laian Qin, Fengfu Tan, Silong Zhang, Feng He, Zaihong Hou. Image Dehazing of Dark Channels Based on Area Contrast Constraint[J]. Chinese Journal of Lasers, 2019, 46(8): 0810003 Copy Citation Text show less

    Abstract

    An improved dark channel dehazing algorithm is proposed to maintain the contrast constraints of the bright and dark areas of an image. According to this algorithm, the original image is first divided into light and dark two areas and the corresponding contrast ratio is calculated. Then, the dark channel dehazing algorithm based on median filtering is used to process the dark area of the image. Finally, the double histogram equalization algorithm with accurate brightness control is used to enhance the brighter area of the image with the constraint that the regional contrast constant is maximized. The results show that compared with that processed by the correlation dehazing algorithm, the final image processed by the proposed algorithm can be significantly improved in terms of information entropy, average gradient and standard deviation of brightness. The proposed algorithm can further highlight the details of the image covered by a hazy environment.
    Zhendong Wang, Xu Jing, Guodong Sun, Yilun Cheng, Lulu Yu, Wenlu Guan, Laian Qin, Fengfu Tan, Silong Zhang, Feng He, Zaihong Hou. Image Dehazing of Dark Channels Based on Area Contrast Constraint[J]. Chinese Journal of Lasers, 2019, 46(8): 0810003
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