• Laser & Optoelectronics Progress
  • Vol. 57, Issue 6, 061011 (2020)
Qiang Gao, Liaolin Hu*, and Xin Chen
Author Affiliations
  • School of Mechanical and Precision Instrument Engineering, Xi'an University of Technology, Xi'an, Shaanxi 710048, China
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    DOI: 10.3788/LOP57.061011 Cite this Article Set citation alerts
    Qiang Gao, Liaolin Hu, Xin Chen. Image Dehazing Method Based on Dark Channel Compensation and Improvement of Atmospheric Light Value[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061011 Copy Citation Text show less
    References

    [1] Li Y Y, Du Y C, Gu Z F. Single image dehazing method via sky region recognition[J]. Computer Engineering and Applications, 54, 204-215(2018).

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    [4] Zhang C, Yang Y. Single image dehazing algorithm based on fusion and Gaussian weighted dark channel[J]. Acta Photonica Sinica, 48, 0110002(2019).

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    [9] Shi L, Ynag L, Chu S B et al. Image haze removal using dark channel prior and minimizing energy function. [C]//2017 IEEE 2nd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC), December 15-17, 2017, Chengdu, China. New York: IEEE, 256-259(2017).

    [10] Kim J H, Jang W D, Sim J Y et al. Optimized contrast enhancement for real-time image and video dehazing[J]. Journal of Visual Communication and Image Representation, 24, 410-425(2013).

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    Qiang Gao, Liaolin Hu, Xin Chen. Image Dehazing Method Based on Dark Channel Compensation and Improvement of Atmospheric Light Value[J]. Laser & Optoelectronics Progress, 2020, 57(6): 061011
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