Chinese Journal of Liquid Crystals and Displays, Volume. 38, Issue 2, 225(2023)

Dehazing algorithm of monochromatic remote sensing image based on matrix restoration and dark channel theory

Ji-wei LIU, Xiao-dong WANG*, and Yun-hui LI
Author Affiliations
  • Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences,Changchun 130033,China
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    In the imaging process, the remote sensing images are easily affected by clouds and haze weather, and forms foggy images. At the same time, when the data are downloaded, they are affected by various factors (such as transmission and reception errors, signals disturbed by random changes in the ionosphere and troposphere, etc.) making the image information lost or doped with noise. This paper proposes a dehazing algorithm for monochrome remote sensing images based on matrix restoration and dark channel theory for foggy monochrome remote sensing images with information loss. Combined with the matrix restoration based on ADMM(Alternating Direction Method of Multipliers) and dark channel theory, the restoration of remote sensing fog map under the condition of information loss is effectively realized. By combining subjective evaluation and objective evaluation, the algorithm in this paper is compared with the classical algorithm. The results show that the results obtained by the algorithm in this paper are more intuitive and visually effective, and compared with the fog map with 30% information loss, the six scenes have better visual effects. The average information entropy is improved by 1.665 2, the average peak signal-to-noise ratio is improved by 11.702 9, and the average structural similarity is improved by 0.814 6. The objective evaluation index results are excellent. Further experiments are carried out in the case of different proportions of information loss, and the results show that the clear restoration and dehazing image can still be obtained even when a large amount of information is lost.

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    Ji-wei LIU, Xiao-dong WANG, Yun-hui LI. Dehazing algorithm of monochromatic remote sensing image based on matrix restoration and dark channel theory[J]. Chinese Journal of Liquid Crystals and Displays, 2023, 38(2): 225

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    Paper Information

    Category: Research Articles

    Received: Jun. 8, 2022

    Accepted: --

    Published Online: Feb. 20, 2023

    The Author Email: Xiao-dong WANG (wangxd@ciomp.ac.cn)

    DOI:10.37188/CJLCD.2022-0192

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