Electronics Optics & Control, Volume. 29, Issue 10, 39(2022)

A Lightweight EDSR-Based Algorithm for Super-Resolution Reconstruction of Airborne Image

WANG Chenbei1...2, ZHANG Haijun1 and WANG Haoran1 |Show fewer author(s)
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  • 1[in Chinese]
  • 2[in Chinese]
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    References(8)

    [1] [1] DONG C,LOY C C,HE K M,et al.Learning a deep convolutional network for image super-resolution[C]//European Conference on Computer Vision.Cham: Springer, 2016:184-199.

    [2] [2] KIM J,LEE J K,LEE K M.Accurate image super-resolution using very deep convolutional networks[C]//IEEE Conference on Computer Vision and Pattern Recognition.Las Vegas,NV:IEEE,2016:1646-1654.

    [3] [3] LEDIG C,THEIS L,HUSZR F,et al.Photo-realistic single image super-resolution using a generative adversarial network[C]//IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,HI:IEEE,2017:105-114.

    [4] [4] LIM B,SON S,KIM H,et al.Enhanced deep residual net-works for single image super-resolution[C]//IEEE Con-ference on Computer Vision and Pattern Recognition Workshops.Honolulu,HI:IEEE,2017:1132-1140.

    [5] [5] ZHANG Y L,TIAN Y P,KONG Y,et al.Residual dense network for image super-resolution[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition.Salt Lake City,UT:IEEE,2018:2472-2481.

    [6] [6] DONG C,LOY C C,TANG X O.Accelerating the super-resolution convolutional neural network[C]//European Conference on Computer Vision.Cham: Springer,2016:391-407.

    [7] [7] LAI W S,HUANG J B,AHUJA N,et al.Deep Laplacian pyramid networks for fast and accurate super-resolution[C]//IEEE Conference on Computer Vision and Pattern Recognition.Honolulu,HI:IEEE,2017:5835-5843.

    [8] [8] KONG X T,ZHAO H Y,QIAO Y,et al.ClassSR: a general framework to accelerate super-resolution networks by data characteristic[C]//IEEE/CVF Conference on Computer Vision and Pattern Recognition.Nashville,TN:IEEE,2021:12011-12020.

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    WANG Chenbei, ZHANG Haijun, WANG Haoran. A Lightweight EDSR-Based Algorithm for Super-Resolution Reconstruction of Airborne Image[J]. Electronics Optics & Control, 2022, 29(10): 39

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    Paper Information

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    Received: Jun. 8, 2022

    Accepted: --

    Published Online: Nov. 12, 2022

    The Author Email:

    DOI:10.3969/j.issn.1671-637x.2022.10.008

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