• Optics and Precision Engineering
  • Vol. 27, Issue 12, 2702 (2019)
CHEN Qing-jiang* and ZHANG Xue
Author Affiliations
  • [in Chinese]
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    DOI: 10.3788/ope.20192712.2702 Cite this Article
    CHEN Qing-jiang, ZHANG Xue. Application of hybrid residual learning and guided filtering algorithm in image defogging[J]. Optics and Precision Engineering, 2019, 27(12): 2702 Copy Citation Text show less
    References

    [1] TAN R T.Visibility in bad weather from a single image [C].Computer Vision and Pattern Recognition, 2008.CVPR 2008.IEEE Conference on.Anchorage, AK, USA: IEEE, 2008: 1-8.

    [2] HE K, SUN J, TANG X O.Single image haze removal using dark channel prior [J].IEEE Transactions on Pattern Analysis & Machine Intelligence, 2011, 33(12): 2341-2353.

    [3] ZHU Q, MAI J, SHAO L.A fast single image haze removal algorithm using color attenuation prior [J].IEEE Transactions on Image Processing, 2015, 24(11): 3522-3533.

    [4] LIU W J, ZHAO Q G, QU H CH.Image defog algorithm based on variogram and morphological filter [J].Journal of Image and Graphics, 2016, 21(12): 1610-1622.(in Chinese)

    [5] LI ZH, LI J Z, HU Y J, et al.. Mixed prior and weighted guided filter image dehazing algorithm [J].Journal of Image and Graphics, 2019, 24(2): 170-179.(in Chinese)

    [6] SHEN Y Y, SHAO Y Q, LIU CH X, et al.. Integrating sky detection with texture smoothing for image defogging [J].Journal of Image and Graphics, 2017, 22(7): 897-905.(in Chinese)

    [7] ZHANG X, ZHOU W, DUAN ZH M, et al.. Convolutional sparse auto-encoder for image super-resolution reconstruction [J].Opt.Precision Eng., 2019, 48(1): 324-330.(in Chinese)

    [8] LI CH P, QIN P L, ZHANG J J.Research on image denoising based on deep convolutional neural network [J].Computer Engineering, 2017, 43(3): 253-260.(in Chinese)

    [9] LIU CH, ZHANG X H.Deep convolutional autoencoder networks approach to low-light level image restoration under extreme low-light illumination [J].Opt.Precision Eng., 2018, 26(4): 951-961.(in Chinese)

    [10] LIU F, SHEN T SH, MA X X, et al.. Ship recognition based on multi-band deep neural Network [J].Opt.Precision Eng., 2017, 25(11): 2939-2946.(in Chinese)

    [11] XIE B, DUAN ZH M, ZHENG B, et al.. Research on UAV target recognition algorithm based on transfer learning SAE [J].Infrared and Laser Engineering, 2018, 47(6): 224-230.(in Chinese)

    [12] REN W Q, LIU S, ZHANG H, et al.. Single Image Dehazing Via Multi-scale Convolutional Neural Networks [M].Computer Vision-ECCV 2016.Berlin: Springer International Publishing, 2016: 154-169.

    [13] LI C Y, GUO J C, FU H Z, et al.. A cascaded convolutional neural network for single image dehazing [J].IEEE Access, 2018: 24877-24887.

    [14] HE K, ZHANG X, REN S, et al.. Identity mappings in deep residual networks[C].Proc.Eur. Conf.Comput.Vis., 2016: 630-645.

    [15] ZHANG K, ZUO W, CHEN Y, et al.. Beyond a gaussian denoiser: residual learning of deep CNN for image denoising [J]. IEEE Trans.Image Process, 2016, 26(7): 3142-315.

    [16] LIAO J SH, WANG L G.Hyperspectral image classification method based on fusion with two kinds of spatial information [J].Laser & Optoelectronics Progress, 2017, 54(8): 081002. (in Chinese)

    [17] DONG C, HE K, TANG X, et al.. Image super-resolution using deep convolutional networks [J].IEEE Trans Pattern Anal Mach Intell, 2016, 38(2): 295-307.

    [18] NARASIMHAN S G, NAYAR S K. Contrast restoration of weather degraded images [J]. IEEE Transactions on Pattern Analysis & Machine Intelligence, 2003, 25(6): 713-724.

    CHEN Qing-jiang, ZHANG Xue. Application of hybrid residual learning and guided filtering algorithm in image defogging[J]. Optics and Precision Engineering, 2019, 27(12): 2702
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