Laser & Optoelectronics Progress, Volume. 56, Issue 11, 111005(2019)

Single-Image Defogging Algorithm Based on Deep Learning

Jiantang Zhao*
Author Affiliations
  • College of Mathematics and Information Science, Xianyang Normal University, Xianyang, Shaanxi 712000, China
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    References(19)

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    [7] Li Z W, Tan P, Tan R T et al. Simultaneous video defogging and stereo reconstruction. [C]∥2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 7-12, 2015, Boston, MA, USA. New York: IEEE, 4988-4997(2015).

    [11] Yamanaka J, Kuwashima S, Kurita T. Fast and accurate image super resolution by deep CNN with skip connection and network in network[M]. ∥ Liu D, Xie S, Li Y, et al. Neural information processing. Cham: Springer, 217-225(2017).

    [12] Wang Z W, Liu D, Yang J C et al. Deep networks for image super-resolution with sparse prior. [C]∥2015 IEEE International Conference on Computer Vision (ICCV), December 7-13, 2015, Santiago, Chile. New York: IEEE, 370-378(2015).

    [15] Ren W Q, Liu S, Zhang H et al. Single image dehazing via multi-scale convolutional neural networks[M]. ∥Leibe B, Matas J, Sebe N, et al. Computer vision-ECCV 2016. Cham: Springer, 154-169(2016).

    [17] Li J J, Li G H, Fan H. Image dehazing using residual-based deep CNN[J]. IEEE Access, 6, 26831-26842(2018).

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    Jiantang Zhao. Single-Image Defogging Algorithm Based on Deep Learning[J]. Laser & Optoelectronics Progress, 2019, 56(11): 111005

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    Paper Information

    Category: Image Processing

    Received: Dec. 6, 2018

    Accepted: Dec. 25, 2018

    Published Online: Jun. 13, 2019

    The Author Email: Zhao Jiantang (zhaojiantanglaoshi@126.com)

    DOI:10.3788/LOP56.111005

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