• Infrared and Laser Engineering
  • Vol. 53, Issue 2, 20230416 (2024)
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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    DOI: 10.3788/IRLA20230416 Cite this Article
    Wenjuan Tang, Qun Dai. Survey of research methods in infrared image dehazing[J]. Infrared and Laser Engineering, 2024, 53(2): 20230416 Copy Citation Text show less
    Infrared image defogging algorithm classification
    Fig. 1. Infrared image defogging algorithm classification
    Polarization-based image dehazing algorithm principle
    Fig. 2. Polarization-based image dehazing algorithm principle
    Schematic diagram of interpolation operation in histogram equalization algorithm
    Fig. 3. Schematic diagram of interpolation operation in histogram equalization algorithm
    (a) Infrared imaging system to take pictures; (b) CLAHE algorithm dehazing effect diagram
    Fig. 4. (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
    Fig. 5. 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
    Fig. 6. (a) Infrared imaging system to take pictures; (b) MSR algorithm dehazing effect diagram
    Flow of dehazing algorithm based on superpixel and Markov random field
    Fig. 7. Flow of dehazing algorithm based on superpixel and Markov random field
    Flow of dehaze algorithm based on local lighting estimation
    Fig. 8. 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
    Fig. 9. 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