Laser & Optoelectronics Progress, Volume. 58, Issue 16, 1610021(2021)
Image Dehazing Algorithm Using Sky Region Segmentation and Weighted Fusion
Fig. 2. Sky region segmentation.(a) Hazy image; (b) brightness component; (c) rough segmentation result; (d) fine segmentation result
Fig. 3. Experimental comparison of fusion dark channel and dark channel of different sizes. (a) Hazy image; (b) weight map; (c) fusion dark channel; (d) small-size dark channel restoration image; (e) large-size dark channel restoration image; (f) fusion dark channel restoration image
Fig. 4. Transmission combining and refining effect. (a) Hazy image; (b) edge detection graph; (c) transition zone; (d) rough transmission; (e) fine transmission; (f) fog-free image
Fig. 5. Comparison of experimental results obtained by different algorithms.(a) Hazy image; (b) method in Ref. [11]; (c) method in Ref. [13]; (d) method in Ref. [14]; (e) method in Ref. [15]; (f) our algorithm
Fig. 6. the objective experimental results. (a) Percentage of saturated pixels; (b) increasing rate of visible edges; (c) average gradient; (d) average running time
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Yan Yang, Xudong Wu, Kang Du. Image Dehazing Algorithm Using Sky Region Segmentation and Weighted Fusion[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610021
Category: Image Processing
Received: Aug. 7, 2020
Accepted: Sep. 30, 2020
Published Online: Aug. 16, 2021
The Author Email: Yan Yang (1275022532@qq.com)