Yuhang Liu, Shuai Wu. Image Dehazing Algorithm Based on Multi-Scale Fusion and Adversarial Training[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061015
- Laser & Optoelectronics Progress
- Vol. 57, Issue 6, 061015 (2020)
Fig. 1. Architecture of the generative network
Fig. 2. Illustration of the multi-scale feature extraction block
Fig. 3. Illustration of the residual-and-densely-connected block
Fig. 4. Architecture of the discriminative network
Fig. 5. Dehazing results of the synthetic hazy images. (a) Hazy image; (b) DCP; (c) FVR; (d) BCCR; (e) GRM; (f) CAP; (g) NLD; (h) DehazeNet; (i) MSCNN; (j) AOD-Net; (k) proposed method; (l) haze-free image
Fig. 6. Dehazing results of the real-world hazy images. (a) Hazy image; (b) DCP; (c) FVR; (d) BCCR; (e) GRM; (f) CAP; (g) NLD; (h) DehazeNet; (i) MSCNN; (j) AOD-Net; (k) proposed method
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Table 1. Comparison of full-reference quality metrics tested on synthetic hazy images
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Table 2. Comparison of no-reference quality metrics tested on synthetic hazy images
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Table 3. Comparison of full-reference quality metrics tested on synthetic hazy images with different haze concentration levels
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Table 4. Comparison of no-reference quality metrics tested on real-world hazy images
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