• Laser & Optoelectronics Progress
  • Vol. 59, Issue 10, 1010006 (2022)
Xianzhen Sang**, Hongtai Zhu*, Hu Cheng, and Ye Zhang
Author Affiliations
  • The 58th Research Institute of China Electronics Technology Group Corporation, Wuxi 214072, Jiangsu , China
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    DOI: 10.3788/LOP202259.1010006 Cite this Article Set citation alerts
    Xianzhen Sang, Hongtai Zhu, Hu Cheng, Ye Zhang. Fast Image Defogging Method Based on Dark Channel and Global Estimation[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1010006 Copy Citation Text show less
    Atmospheric scattering model
    Fig. 1. Atmospheric scattering model
    Image defogging effect of dark channel method. (a) Original foggy image; (b) transmittance map; (c) image after defogging
    Fig. 2. Image defogging effect of dark channel method. (a) Original foggy image; (b) transmittance map; (c) image after defogging
    Flow chart of the proposed algorithm
    Fig. 3. Flow chart of the proposed algorithm
    Relationship between Iminc(x) and Jminc(x). (a) Foggy image; (b) the fog component in the image is small; (c) the fog component in the image is large
    Fig. 4. Relationship between Iminc(x) and Jminc(x). (a) Foggy image; (b) the fog component in the image is small; (c) the fog component in the image is large
    Dehazing results of hazy images with abrupt change of depth of field and sky region by different methods. (a) Original foggy image; (b) DC-GF method; (c) Zhu's method; (d) Berman's method; (e) Cai's method; (f) Chen's method; (g) DC-GE method
    Fig. 5. Dehazing results of hazy images with abrupt change of depth of field and sky region by different methods. (a) Original foggy image; (b) DC-GF method; (c) Zhu's method; (d) Berman's method; (e) Cai's method; (f) Chen's method; (g) DC-GE method
    ImageMethodEffective detail intensityHue restoration degreeStructural similarityComprehensive evaluation
    Img 1DC-GF0.3940.5130.8340.169
    Zhu0.3690.740.9370.256
    Berman0.2670.7810.840.175
    Cai0.4060.6530.9160.243
    Chen0.3760.8180.8970.276
    DC-GE0.4080.5610.8680.199
    Img 2DC-GF0.6640.6080.5680.229
    Zhu0.6520.5320.7030.244
    Berman0.5010.5290.5170.137
    Cai0.6530.5970.6540.255
    Chen0.6080.6230.6930.262
    DC-GE0.6670.6120.6090.249
    Img 3DC-GF0.3700.6250.7970.192
    Zhu0.3650.6810.8630.214
    Berman0.3060.6610.7810.158
    Cai0.3860.6370.9140.225
    Chen0.3570.7710.9570.263
    DC-GE0.3890.6560.8100.207
    Img 4DC-GF0.5830.5430.6890.218
    Zhu0.5100.540.7910.218
    Berman0.5190.6780.7230.254
    Cai0.5020.360.8380.151
    Chen0.5230.6020.8510.268
    DC-GE0.5160.860.8470.376
    Img 5DC-GF0.3020.5240.8170.129
    Zhu0.280.6870.8660.167
    Berman0.2710.650.6960.123
    Cai0.320.7590.8980.218
    Chen0.3580.5420.8790.171
    DC-GE0.2830.7730.8320.182
    Img 6DC-GF0.4830.610.7060.208
    Zhu0.5690.8440.6850.329
    Berman0.4580.5490.570.143
    Cai0.4690.5830.8440.231
    Chen0.5060.6810.7530.259
    DC-GE0.4720.6510.7650.235
    Table 1. Effective detail intensity, hue restoration degree, structural similarity and comprehensive evaluation of the obtained image
    ImagesImg 1Img 2Img 3Img 4Img 5Img 6
    MethodDC-GFDC-GEDC-GFDC-GEDC-GFDC-GEDC-GFDC-GEDC-GFDC-GEDC-GFDC-GE
    Time /s0.4050.0940.4520.1091.4790.2340.5770.0781.5130.2650.6240.109
    Table 2. Processing time of the algorithm
    Xianzhen Sang, Hongtai Zhu, Hu Cheng, Ye Zhang. Fast Image Defogging Method Based on Dark Channel and Global Estimation[J]. Laser & Optoelectronics Progress, 2022, 59(10): 1010006
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