• Laser & Optoelectronics Progress
  • Vol. 58, Issue 6, 610011 (2021)
Yang Yan*, Du Kang, and Wu Xudong
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou, Gansu 730070, China
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    DOI: 10.3788/LOP202158.0610011 Cite this Article Set citation alerts
    Yang Yan, Du Kang, Wu Xudong. Iterative Optimization Dehazing Algorithm Based on Improved Linear Transformation[J]. Laser & Optoelectronics Progress, 2021, 58(6): 610011 Copy Citation Text show less
    Flow chart of our algorithm
    Fig. 1. Flow chart of our algorithm
    Dehazing images obtained by different α. (a) Hazy image; (b) α=0.2; (c) α=0.4; (d) α=0.6; (e) α=0.8; (f) α=1.0
    Fig. 2. Dehazing images obtained by different α. (a) Hazy image; (b) α=0.2; (c) α=0.4; (d) α=0.6; (e) α=0.8; (f) α=1.0
    Atmospheric light curtains obtained by different algorithms. (a) Hazy image; (b) algorithm of Ref. [11]; (c) our algorithm
    Fig. 3. Atmospheric light curtains obtained by different algorithms. (a) Hazy image; (b) algorithm of Ref. [11]; (c) our algorithm
    Dehazing images obtained by different algorithms. (a) Hazy image; (b) initial medium transmission rate obtained by our algorithm; (c) restoration effect of our algorithm; (d) medium transmission rate obtained by Ref. [10]; (e) restoration effect of Ref. [10]
    Fig. 4. Dehazing images obtained by different algorithms. (a) Hazy image; (b) initial medium transmission rate obtained by our algorithm; (c) restoration effect of our algorithm; (d) medium transmission rate obtained by Ref. [10]; (e) restoration effect of Ref. [10]
    Restoration effect of bright area. (a) Hazy image; (b) dehazeing image before correction; (c) dehazeing image after adaptive correction
    Fig. 5. Restoration effect of bright area. (a) Hazy image; (b) dehazeing image before correction; (c) dehazeing image after adaptive correction
    High-order filter bank
    Fig. 6. High-order filter bank
    Iterative optimization process of the medium transmission rate. (a) Rough media transmission rate; (b) effect after iteration; (c) effect after two iterations; (d) effect after three iterations
    Fig. 7. Iterative optimization process of the medium transmission rate. (a) Rough media transmission rate; (b) effect after iteration; (c) effect after two iterations; (d) effect after three iterations
    Restored images of different algorithms. (a) Hazy image; (b) algorithm of Ref. [14]; (c) our algorithm
    Fig. 8. Restored images of different algorithms. (a) Hazy image; (b) algorithm of Ref. [14]; (c) our algorithm
    Dehazing images obtained by different algorithms. (a) Hazy image; (b) Ref. [8]; (c) Ref. [13]; (d) Ref. [4]; (e) Ref. [3]; (f) our algorithm
    Fig. 9. Dehazing images obtained by different algorithms. (a) Hazy image; (b) Ref. [8]; (c) Ref. [13]; (d) Ref. [4]; (e) Ref. [3]; (f) our algorithm
    Objective evaluation indicators of different algorithms. (a) Average computing time; (b) visible edge increase rate; (c) saturated pixel ratio; (d) average gradient
    Fig. 10. Objective evaluation indicators of different algorithms. (a) Average computing time; (b) visible edge increase rate; (c) saturated pixel ratio; (d) average gradient
    Yang Yan, Du Kang, Wu Xudong. Iterative Optimization Dehazing Algorithm Based on Improved Linear Transformation[J]. Laser & Optoelectronics Progress, 2021, 58(6): 610011
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