Chen Qu, Duyan Bi. Haze Image Restoration Based on Multi-Prior Constraints[J]. Laser & Optoelectronics Progress, 2020, 57(18): 181014
- Laser & Optoelectronics Progress
- Vol. 57, Issue 18, 181014 (2020)
Fig. 1. Atmospheric scattering model
Fig. 2. Analysis results of color attenuation prior of “distant mountain” and “red building”. (a) Haze images; (b) black and white difference images; (c) relationship curves between brightness and saturation difference and scene depth
![Different algorithms process “distant mountain”, “road” and “building” smog images and corresponding visible edges. (a)(b) Input haze images; (c)(d) Ref. [5]; (e)(f) proposed algorithm](/Images/icon/loading.gif){kind=icon}
Fig. 3. Different algorithms process “distant mountain”, “road” and “building” smog images and corresponding visible edges. (a)(b) Input haze images; (c)(d) Ref. [5]; (e)(f) proposed algorithm
Fig. 4. Different algorithms process “wheatgrass”, “hill” and “orange” haze images and corresponding visible edges. (a)(b) Input haze images; (c)(d) Ref. [12]; (e)(f) proposed algorithm
Fig. 5. Different algorithms process “street”, “forest” and “village” smog images and corresponding visible edges. (a)(b) Input haze images; (c)(d) Ref. [13]; (e)(f) proposed algorithm
Fig. 6. Different algorithms process “goose”, “small building” and “mountain forest” smog images and corresponding visible edges. (a)(b) Input haze images; (c)(d) Ref. [8]; (e)(f) proposed algorithm
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Table 1. Comparison of VDI and HR in Fig. 3 with different algorithms
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Table 2. Comparison of VDI and HR in Fig. 4 with different algorithms
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Table 3. Comparison of VDI and HR in Fig. 5 with different algorithms
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Table 4. Comparison of VDI and HR in Fig. 6 with different algorithms
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