Laser & Optoelectronics Progress, Volume. 56, Issue 10, 101002(2019)

Adaptive Linear Transformation Image Dehazing Algorithm Based on Gaussian Attenuation

Peipei Jiang and Yan Yang*
Author Affiliations
  • School of Electronic and Information Engineering, Lanzhou Jiao Tong University, Lanzhou, Gansu 730070, China
  • show less
    References(18)

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

    [12] Ren W Q, Liu S, Zhang H et al. Single image dehazing via multi-scale convolutional neural networks. [C]∥Leibe B, Matas J, Sebe N, et al. Computer Vision - ECCV 2016. Cham: Springer, 9906, 154-169(2016).

    [15] Sulami M, Glatzer I, Fattal R et al. Automatic recovery of the atmospheric light in hazy images. [C]∥IEEE International Conference on Computational Photography(ICCP), May 2-4, 2014, Santa Clara, CA, USA. New York: IEEE, 1-11(2014).

    Tools

    Get Citation

    Copy Citation Text

    Peipei Jiang, Yan Yang. Adaptive Linear Transformation Image Dehazing Algorithm Based on Gaussian Attenuation[J]. Laser & Optoelectronics Progress, 2019, 56(10): 101002

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Image Processing

    Received: Oct. 17, 2018

    Accepted: Dec. 13, 2018

    Published Online: Jul. 4, 2019

    The Author Email: Yang Yan (yangyantd@mail.lzjtu.cn)

    DOI:10.3788/LOP56.101002

    Topics