Laser & Optoelectronics Progress, Volume. 57, Issue 6, 061011(2020)

Image Dehazing Method Based on Dark Channel Compensation and Improvement of Atmospheric Light Value

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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    References(11)

    [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).

    [2] Xu Y, Wen J, Fei L K et al. Review of video and image defogging algorithms and related studies on image restoration and enhancement[J]. IEEE Access, 4, 165-188(2016).

    [7] Meng G F, Wang Y, Duan J Y et al. Efficient image dehazing with boundary constraint and contextual regularization. [C]//2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, NSW, Australia. New York: IEEE, 617-624(2013).

    [8] Zhu Q S, Mai J M, Shao L. A fast single image haze removal algorithm using color attenuation prior[J]. IEEE Transactions on Image Processing, 24, 3522-3533(2015).

    [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).

    [11] Li J T, Zhang Y J. Improvements of image haze removal algorithm and its subjective and objective performance evaluation[J]. Optics and Precision Engineering, 25, 735-741(2017).

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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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    Paper Information

    Category: Image Processing

    Received: Jul. 25, 2019

    Accepted: Aug. 28, 2019

    Published Online: Mar. 6, 2020

    The Author Email: Liaolin Hu (huliaolin@163.com)

    DOI:10.3788/LOP57.061011

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