• Laser & Optoelectronics Progress
  • Vol. 58, Issue 16, 1610021 (2021)
Yan Yang*, Xudong Wu, and Kang Du
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    DOI: 10.3788/LOP202158.1610021 Cite this Article Set citation alerts
    Yan Yang, Xudong Wu, Kang Du. Image Dehazing Algorithm Using Sky Region Segmentation and Weighted Fusion[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610021 Copy Citation Text show less
    Flowchart of the algorithm
    Fig. 1. Flowchart of the algorithm
    Sky region segmentation.(a) Hazy image; (b) brightness component; (c) rough segmentation result; (d) fine segmentation result
    Fig. 2. Sky region segmentation.(a) Hazy image; (b) brightness component; (c) rough segmentation result; (d) fine segmentation result
    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. 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
    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. 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
    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. 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
    the objective experimental results. (a) Percentage of saturated pixels; (b) increasing rate of visible edges; (c) average gradient; (d) average running time
    Fig. 6. the objective experimental results. (a) Percentage of saturated pixels; (b) increasing rate of visible edges; (c) average gradient; (d) average running time
    Yan Yang, Xudong Wu, Kang Du. Image Dehazing Algorithm Using Sky Region Segmentation and Weighted Fusion[J]. Laser & Optoelectronics Progress, 2021, 58(16): 1610021
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