• Optoelectronics Letters
  • Vol. 17, Issue 11, 699 (2021)
Zhiwei WANG and Yan YANG*
Author Affiliations
  • School of Electronics and Information Engineering, Lanzhou Jiaotong University, Lanzhou 730070, China
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    DOI: 10.1007/s11801-021-1046-x Cite this Article
    WANG Zhiwei, YANG Yan. HazeNet: a network for single image dehazing[J]. Optoelectronics Letters, 2021, 17(11): 699 Copy Citation Text show less
    References

    [1] WANG M W, ZHU F Z, BAI Y Y. An improved image blind deblurring based on dark channel prior[J]. Optoelectronics letters, 2021, 17(1):40-46.

    [2] YANG Y, WANG Z W. Haze removal:push DCP at the edge[J]. IEEE signal processing letters, 2020, 27: 1405-1409.

    [3] GUO F, ZHOU C, LIU L J, et al. Single image defogging based on particle swarm optimization[J]. Optoelectronics letters, 2017, 13(6):452-456.

    [4] HE K M, SUN J, TANG X O. Single image haze removal using dark channel prior[J]. IEEE transactions on pattern analysis and machine intelligence, 2011, 33(12):2341-2353.

    [5] 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, 2015, 24(11): 3522-3533.

    [6] MENG G F, WANG Y, DUAN J Y, et al. Efficient image dehazing with boundary constraint and contextual regularization[C]//Proceedings of 2013 IEEE International Conference on Computer Vision, December 1-8, 2013, Sydney, NSW, Australia. New York:IEEE, 2013: 617-624.

    [7] REN W Q, LIU S, ZHANG H, et al. Single image dehazing via multi-scale convolutional neural net works[C]//European Conference on Computer Vision, October 11-14, 2016, Amsterdam, The Netherlands. Berlin:Springer, 2016:154-169.

    [8] QIN X, WANG Z L, BAI Y C, et al. FFA-Net:feature fusion attention network for single image dehazing[ C]//The 34th AAAI Conference on Artificial Intelligence, February 7-12, 2020, Hilton New York Midtown, New York, USA. New York:AAAI, 2020: 11908-11915.

    [9] LI B Y, PENG X L, WANG Z Y, et al. AOD-Net: all-in-one dehazing network[C]//Proceedings of 2017 IEEE International Conference on Computer Vision, October 22-29, 2017, Venice, Italy. New York:IEEE, 2017:4780-4788.

    [10] WU Q B, ZHANG J G, REN W Q, et al. Accurate transmission estimation for removing haze and noise from a single image[J]. IEEE transactions on image processing, 2020, 29:2583-2597.

    [11] REN W Q, ZHANG J G, XU X Y, et al. Deep video dehazing with semantic segmentation[J]. IEEE transactions on image processing, 2019, 28(04):1895-1908.

    [12] LI B Y, REN W Q, FU D P, et al. Benchmarking single- image dehazing and beyond[J]. IEEE transactions on image processing, 2019, 28(1):492-505.

    [13] CAI B L, XU X M, JIA K, et al. DehazeNet:an end-to-end system for single image haze removal[J]. IEEE transactions on image processing, 2016, 25(11): 5187-5198.

    [14] ZHANG Y F, DING L, SHARMA G. Hazerd:an outdoor scene dataset and benchmark for single image dehazing[C]//Proceedings of 2017 IEEE International Conference on Image Processing, September 17-20, 2017, Beijing, China. New York: IEEE, 2017: 3205-3209.

    WANG Zhiwei, YANG Yan. HazeNet: a network for single image dehazing[J]. Optoelectronics Letters, 2021, 17(11): 699
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