• Laser & Optoelectronics Progress
  • Vol. 59, Issue 4, 0411001 (2022)
Yufei Meng1、2, Xiaoling Wang1, Chang Liu2、*, and Zhehai Zhou1
Author Affiliations
  • 1School of Instrument Science and Opto Electronic Engineering, Beijing Information Science & Technology University, Beijing 100192, China
  • 2Institute of Applied Mathematics, Beijing Information Science & Technology University, Beijing 100085, China
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    DOI: 10.3788/LOP202259.0411001 Cite this Article Set citation alerts
    Yufei Meng, Xiaoling Wang, Chang Liu, Zhehai Zhou. Dehazing of Dual Angle Polarization Image Based on Mean Comparison of Quartering Dark Channels[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0411001 Copy Citation Text show less

    Abstract

    When taking images in foggy environment, fog, haze, and other media lead to image blur, low contrast, and dim color. In this paper, the atmospheric scattering model and the principle of polarized light are combined to obtain the dual angle polarized image with the maximum brightness and the minimum brightness by using the Stokes parameters. The atmospheric light intensity at infinity in the scene is accurately estimated by the new method of comparing the mean value of the dark channel of the quartered image, and finally the foggy image is restored to the image without fog. The experimental results show that the image NRSS (no reference structural similarity) and mean gradient are greatly improved in both mist and dense haze environments.
    Yufei Meng, Xiaoling Wang, Chang Liu, Zhehai Zhou. Dehazing of Dual Angle Polarization Image Based on Mean Comparison of Quartering Dark Channels[J]. Laser & Optoelectronics Progress, 2022, 59(4): 0411001
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