• Optics and Precision Engineering
  • Vol. 30, Issue 10, 1246 (2022)
Yutong JIANG*, Zhonglin YANG, Mengqi ZHU, Yi ZHANG, and Lixia GUO
Author Affiliations
  • China North Vehicle Research Institute, Beijing100072, China
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    DOI: 10.37188/OPE.20223010.1246 Cite this Article
    Yutong JIANG, Zhonglin YANG, Mengqi ZHU, Yi ZHANG, Lixia GUO. Image dehazing method based on adaptive bi-channel priors[J]. Optics and Precision Engineering, 2022, 30(10): 1246 Copy Citation Text show less
    Flow chart of adaptive bi-channel prior image dehazing method based on superpixel
    Fig. 1. Flow chart of adaptive bi-channel prior image dehazing method based on superpixel
    Haze-free images, bright channel images and histogram statistics of bright channel values
    Fig. 2. Haze-free images, bright channel images and histogram statistics of bright channel values
    Extract white or bright colors and black or dark pixels from hazy and haze-free images
    Fig. 3. Extract white or bright colors and black or dark pixels from hazy and haze-free images
    Extraction results of white or bright and black or dark pixels in fog-free images and composite foggy images
    Fig. 4. Extraction results of white or bright and black or dark pixels in fog-free images and composite foggy images
    Histogram statistics and cumulative distribution diagram of error Ew value, Eb value and total error E value
    Fig. 5. Histogram statistics and cumulative distribution diagram of error Ew value, Eb value and total error E value
    Influence of soft matting filter on the dehazing result obtained by estimating the transmittance map based on a fixed-size rectangular area
    Fig. 6. Influence of soft matting filter on the dehazing result obtained by estimating the transmittance map based on a fixed-size rectangular area
    Haze-free image and images based on dark channel in different regions
    Fig. 7. Haze-free image and images based on dark channel in different regions
    DCP, pixel-based DCP and superpixel-based BiCP method to obtain dehazing results
    Fig. 8. DCP, pixel-based DCP and superpixel-based BiCP method to obtain dehazing results
    Transmittance map and atmospheric light map based on super pixel BiCP dehazing method
    Fig. 9. Transmittance map and atmospheric light map based on super pixel BiCP dehazing method
    Atmospheric light, transmittance and dehazing results based on the superpixel BiCP and ABiCP methods
    Fig. 10. Atmospheric light, transmittance and dehazing results based on the superpixel BiCP and ABiCP methods
    DCP, pixel-based DCP, BiCP and ABiCP methods images dehazing results
    Fig. 11. DCP, pixel-based DCP, BiCP and ABiCP methods images dehazing results
    Example images of objective evaluation index of "BIT01" dehazing results obtained by various dehazing methods
    Fig. 12. Example images of objective evaluation index of "BIT01" dehazing results obtained by various dehazing methods
    Quantitative comparison of dehazing results on the FRIDA dataset
    Fig. 13. Quantitative comparison of dehazing results on the FRIDA dataset
    去雾方法BIT01BIT02BIT03BIT04
    ηγ¯εηγ¯εηγ¯εηγ¯ε
    DCP0.330.990.000.150.990.000.371.080.000.231.210.00
    Pixel-based DCP0.110.940.000.100.870.000.120.910.000.211.160.00
    BiCP0.691.730.000.191.240.030.491.520.022.624.450.00
    ABiCP0.441.580.000.171.320.000.481.460.000.301.800.00
    Table 1. Calculation of blind image evaluation index based on dehazing results
    Yutong JIANG, Zhonglin YANG, Mengqi ZHU, Yi ZHANG, Lixia GUO. Image dehazing method based on adaptive bi-channel priors[J]. Optics and Precision Engineering, 2022, 30(10): 1246
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