Fig. 1. Physical model of atmospheric scattering

Fig. 2. Schematic of single image dehazing model of multiscale deep-learning based on dual-domain decomposition

Fig. 3. Original image and its high- and low-frequency sub-images. (a) Original image; (b) high-frequency sub-image; (c) low-frequency sub-image

Fig. 4. Comparison of activation functions. (a) ReLU function; (b) PReLU function

Fig. 5. Schematic of single image dehazing algorithm of multiscale deep-learning based on dual-domain decomposition

Fig. 6. Outdoor hazy images and corresponding scene transmission labels after depth map preprocessing

Fig. 7. Experimental results of synthetic hazy images processed by different methods. (a) Synthetic hazy images; (b) stardard dehazed images; (c) method in Ref. [6]; (d) method in Ref. [9]; (e) method in Ref. [11]; (f) method in Ref. [12]; (g) method in Ref. [13]; (h) proposed method

Fig. 8. Experimental results of real natural hazy images processed by different methods. (a) Hazy images; (b) method in Ref. [6]; (c) method in Ref. [9]; (d) method in Ref. [11]; (e) method in Ref. [12]; (f) method in Ref. [13]; (g) proposed method