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

Fig. 1. Infrared image defogging algorithm classification

Fig. 2. Polarization-based image dehazing algorithm principle

Fig. 3. Schematic diagram of interpolation operation in histogram equalization algorithm

Fig. 4. (a) Infrared imaging system to take pictures; (b) CLAHE algorithm dehazing effect diagram

Fig. 5. Schematic diagram of the theoretical algorithm of the retinal cortex. (a) SSR algorithm schematic; (b) MSR algorithm schematic

Fig. 6. (a) Infrared imaging system to take pictures; (b) MSR algorithm dehazing effect diagram

Fig. 7. Flow of dehazing algorithm based on superpixel and Markov random field

Fig. 8. Flow of dehaze algorithm based on local lighting estimation

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

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