Infrared and Laser Engineering, Volume. 53, Issue 2, 20230416(2024)

Survey of research methods in infrared image dehazing

Wenjuan Tang1,2 and Qun Dai1
Author Affiliations
  • 1School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China
  • 2Hiwing Technology Acadmey of Casic, Beijing 100074, China
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    Figures & Tables(9)
    Infrared image defogging algorithm classification
    Polarization-based image dehazing algorithm principle
    Schematic diagram of interpolation operation in histogram equalization algorithm
    (a) Infrared imaging system to take pictures; (b) CLAHE algorithm dehazing effect diagram
    Schematic diagram of the theoretical algorithm of the retinal cortex. (a) SSR algorithm schematic; (b) MSR algorithm schematic
    (a) Infrared imaging system to take pictures; (b) MSR algorithm dehazing effect diagram
    Flow of dehazing algorithm based on superpixel and Markov random field
    Flow of dehaze algorithm based on local lighting estimation
    Haze concentration is positively correlated with the difference between brightness and saturation. (a) Blurry images; (b) Close-up of areas of dense haze and histograms; (c) Close-up patches in moderately blurred areas and their histograms; (d) Close-up patches in fog-free areas and their histograms
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    Wenjuan Tang, Qun Dai. Survey of research methods in infrared image dehazing[J]. Infrared and Laser Engineering, 2024, 53(2): 20230416

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    Paper Information

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    Received: Jun. 19, 2023

    Accepted: --

    Published Online: Mar. 27, 2024

    The Author Email:

    DOI:10.3788/IRLA20230416

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