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Optics and Precision Engineering, Volume. 31, Issue 15, 2273(2023)

Image super-resolution reconstruction based on attention and wide-activated dense residual network

Qiqi KOU1、*, Chao LI2, Deqiang CHENG2, Liangliang CHEN2, Haohui MA2, and Jianying ZHANG2
Author Affiliations
  • 1School of Computer Science and Technology， China University of Mining and Technology， Xuzhou226， China
  • 2School of Information and Control Engineering， China University of Mining and Technology， Xuzhou1116， China
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    CLP Journals

    [1] Yulan HAN, Yihong LUO, Yujie CUI, Chaofeng LAN. Super-resolution reconstruction of text image with multimodal semantic interaction[J]. Optics and Precision Engineering, 2025, 33(1): 135

    [2] Yulan HAN, Yihong LUO, Yujie CUI, Chaofeng LAN. Super-resolution reconstruction of text image with multimodal semantic interaction[J]. Optics and Precision Engineering, 2025, 33(1): 135

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    Qiqi KOU, Chao LI, Deqiang CHENG, Liangliang CHEN, Haohui MA, Jianying ZHANG. Image super-resolution reconstruction based on attention and wide-activated dense residual network[J]. Optics and Precision Engineering, 2023, 31(15): 2273

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    Paper Information

    Category: Information Sciences

    Received: Nov. 1, 2022

    Accepted: --

    Published Online: Sep. 5, 2023

    The Author Email: KOU Qiqi (kouqiqi@cumt.edu.cn)

    DOI:10.37188/OPE.20233115.2273

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology