Chinese Optics, Volume. 15, Issue 1, 34(2022)

Nighttime image dehazing with a new light segmentation method and a linear image depth estimation model

Jian-wei LV1,2, Feng QIAN1, Hao-nan HAN1,2, and Bao ZHANG1、*
Author Affiliations
  • 1Changchun Institute of Optics, Fine Mechanics and Physics, Chinese Academy of Sciences, Changchun 130033, China
  • 2University of Chinese Academy of Sciences, Beijing 100049, China
  • show less
    Figures & Tables(8)
    Image model for the scene with haze at night
    Image layer decomposition and color transformation
    The results of nighttime hazy image segmentation
    Nighttime haze-free images and the corresponding synthetic hazy images
    The dehazing results using different transmission
    Comparison of the effects of the proposed method with other methods. From left to right: original image, images obtained with Zhang’s method[13], Li’s method[14], Yu’s method[18] and proposed method
    Comparison of nighttime dehazing algorithms
    • Table 1. The values of image quality assessment

      View table
      View in Article

      Table 1. The values of image quality assessment

      Quality assessmentZhang et alLi et alYu et alOurs
      e26.744832.113423.259033.6594
      IVM8.05128.86467.239910.0275
      SSIM0.55570.72340.75200.7761
      CG0.38540.39910.31590.6566
      VCM43.666725.666756.000059.8333
      PSNR17.599420.210421.556021.8774
    Tools

    Get Citation

    Copy Citation Text

    Jian-wei LV, Feng QIAN, Hao-nan HAN, Bao ZHANG. Nighttime image dehazing with a new light segmentation method and a linear image depth estimation model[J]. Chinese Optics, 2022, 15(1): 34

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Original Article

    Received: May. 24, 2021

    Accepted: --

    Published Online: Jul. 27, 2022

    The Author Email:

    DOI:10.37188/CO.2021-0114

    Topics