Journal of Infrared and Millimeter Waves, Volume. 41, Issue 5, 930(2022)

Infrared image dehazing based on hierarchical subdivision superpixels and information integrity prior

Wei-Hua LI1,2,3, Fan-Ming LI1,3、*, Zhuang MIAO1,2,3, Chang TAN1,2,3, and Jing MU1,2,3
Author Affiliations
  • 1CAS Key Laboratory of Infrared System Detection and Imaging Technology,Shanghai Institute of Technical Physics,Shanghai 200083,China
  • 2University of Chinese Academy of Sciences,Beijing 100049,China
  • 3Shanghai Institute of Technical Physics,Chinese Academy of Sciences,Shanghai 200083,China
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    Figures & Tables(11)
    Sample result of our proposed method,(a)original real hazy infrared image,(b)reconstructed image obtained by our technique
    The relationship between scattering efficiency and the ratio of the wavelength to the radius of scattered particles. As the particle radius increases,the scattering efficiency eventually converges about 2 after a slight oscillation
    The flowchart of the proposed algorithm
    Example of RAG in local region (a) A local region in fine segmented layer, (b) the corresponding RAG,(c) the next RAG after merge of P1 and P5 if the weight w is greater than wT
    Searching method to obtain A. Marked region is the next sub-block (a) process of modified quadtree method based on superpixels, (b) result and process of traditional quadtree method, (c) result of our method
    Relationship between transmission and reconstructed image. Haze is added to a block with t=0.6. Dehazing the artificial block with t is(a)0.3,(b)0.5,(c)0.7,(d)0.9,and the histogram distribution for each block.
    The input values of[0,65535]are mapped to the output with a small t. The information in the red region is lost because the values are truncated
    Visual comparisons in mutation scene (a) original image, (b) CLAHE, (c) MSR, (d) Bo et al., (e) Zheng et al.(f) proposed technique. The zoomed-in details are shown on the right side of the picture
    Visual comparisons in slowly-varying scene (a) original image, (b) CLAHE, (c) MSR, (d) Bo et al., (e) Zheng et al.,(f) proposed technique. The zoomed-in details are shown on the right side of the picture
    Example of comparison on pre-processing before CLAHE. (a) original infrared image,(b) Pre-processing image by bilateral filtering, (c) result of CLAHE in (a), (d) result of CLAHE in (b)
    • Table 1. Scores for PSNR,SSIM,e,r¯,IVM,MSE,NS-SSIM for all compared algorithms in Fig. 8 and Fig. 9

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      Table 1. Scores for PSNR,SSIM,e,r¯,IVM,MSE,NS-SSIM for all compared algorithms in Fig. 8 and Fig. 9

      PSNRSSIMer¯IVM

      MSE

      (×108

      NS-SSIM
      Fig. 8CLAHE13.540.469.322.529.443.190.59
      MSR13.120.422.711.839.192.670.52
      Bo’s14.270.583.471.249.643.600.82
      Zheng’s15.050.5311.382.2611.063.660.63
      Proposed15.230.664.061.769.533.890.96
      Fig. 9CLAHE12.720.4820.662.8410.012.000.74
      MSE12.130.4013.331.849.371.160.56
      Bo’s13.360.5014.201.4010.071.970.73
      Zheng’s13.820.6119.462.6610.782.320.62
      Proposed14.080.5715.252.0610.323.070.91
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    Wei-Hua LI, Fan-Ming LI, Zhuang MIAO, Chang TAN, Jing MU. Infrared image dehazing based on hierarchical subdivision superpixels and information integrity prior[J]. Journal of Infrared and Millimeter Waves, 2022, 41(5): 930

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    Paper Information

    Category: Research Articles

    Received: Aug. 18, 2021

    Accepted: --

    Published Online: Feb. 6, 2023

    The Author Email: Fan-Ming LI (lfmjws@163.com)

    DOI:10.11972/j.issn.1001-9014.2022.05.018

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