Laser & Optoelectronics Progress, Volume. 59, Issue 16, 1610007(2022)

Lightweight Super-Resolution Image-Reconstruction Model with Adaptive Residual Attention

Ming Jiang, Qingsheng Xiao, Jianbing Yi*, and Feng Cao
Author Affiliations
  • School of Information Engineering, Jiangxi University of Science and Technology, Ganzhou 341000, Jiangxi , China
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    References(23)

    [2] Hu F, Lin Y, Hou M D et al. Super-resolution reconstruction of cytoskeleton image based on deep learning[J]. Acta Optica Sinica, 40, 2410001(2020).

    [3] Liu Z, Luo Z W, Wang Z Y et al. Super-resolution fluorescence microscopy image reconstruction algorithm based on structured illumination[J]. Chinese Journal of Lasers, 48, 0307001(2021).

    [4] Zhang Z M, Huang Y R, Liu S C et al. Common-path parallel fluorescence emission difference super-resolution microscopy[J]. Chinese Journal of Lasers, 48, 1607002(2021).

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    Ming Jiang, Qingsheng Xiao, Jianbing Yi, Feng Cao. Lightweight Super-Resolution Image-Reconstruction Model with Adaptive Residual Attention[J]. Laser & Optoelectronics Progress, 2022, 59(16): 1610007

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    Paper Information

    Category: Image Processing

    Received: Jun. 1, 2021

    Accepted: Jun. 27, 2021

    Published Online: Jul. 22, 2022

    The Author Email: Jianbing Yi (yijianbing8@163.com)

    DOI:10.3788/LOP202259.1610007

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