Haze Image Restoration Based on Multi-Prior Constraints

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

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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

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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

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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

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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 1. Comparison of VDI and HR in Fig. 3 with different algorithms
Fig.3 VDI HR
Ref. [5] Proposedalgorithm Ref. [5] Proposedalgorithm
Distantmountain 0.4376 0.5832 0.6817 0.8673
Road 0.3391 0.6997 0.4538 0.7261
Building 0.5248 0.6613 0.6254 0.8392

Table 2. Comparison of VDI and HR in Fig. 4 with different algorithms
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Table 2. Comparison of VDI and HR in Fig. 4 with different algorithms
Fig.4 VDI HR
Ref. [12] Proposedalgorithm Ref. [12] Proposedalgorithm
Wheatgrass 0.3194 0.6582 0.5833 0.7761
Hill 0.5288 0.7917 0.6702 0.8714
Orange 0.4570 0.6746 0.6091 0.8418

Table 3. Comparison of VDI and HR in Fig. 5 with different algorithms
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Table 3. Comparison of VDI and HR in Fig. 5 with different algorithms
Fig.5 VDI HR
Ref. [13] Proposedalgorithm Ref. [13] Proposedalgorithm
Street 0.4277 0.7301 0.6375 0.8399
Forest 0.4591 0.6228 0.6027 0.7924
Village 0.4370 0.6419 0.6518 0.9067

Table 4. Comparison of VDI and HR in Fig. 6 with different algorithms
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Table 4. Comparison of VDI and HR in Fig. 6 with different algorithms
Fig.6 VDI HR
Ref. [8] Proposedalgorithm Ref. [8] Proposedalgorithm
Goose 0.4136 0.6813 0.5195 0.7367
Smallbuilding 0.5288 0.7291 0.6830 0.8166
Mountainforest 0.4930 0.6205 0.4729 0.7804