Chinese Journal of Liquid Crystals and Displays, Volume. 40, Issue 7, 1056(2025)

Image super-resolution reconstruction based on multidimensional attention network

Xing HE1,2, Lei WANG1,2、*, Pengchao ZHANG1,2, Shusheng WANG1,2, and Heng ZHANG1,2
Author Affiliations
  • 1School of Mechanical Engineering,Shaanxi University of Technology,Hanzhong 723001,China
  • 2Shaanxi Key Laboratory of Industrial Automation,Hanzhong 723001,China
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    References(30)

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    [4] WU H W, GAI S Y, DA F P. Image super resolution algorithm based on receptive field optimization and progressive feature fusion[J]. Journal of Xi'an Jiaotong University, 59, 136-147(2025).

    [13] SCHULTZ R R, STEVENSON R L. Improved definition video frame enhancement[C], 2169-2172(1995).

    [16] SAHARIA C, HO J, CHAN W et al. Image super-resolution via iterative refinement[J]. IEEE Transactions on Pattern Analysis and Machine Intelligence, 45, 4713-4726(2023).

    [26] ZEYDE R, ELAD M, PROTTER M. On single image scale-up using sparse-representations[C], 711-730(2010).

    [30] YUAN T W. Research on reconstruction algorithm of compressed sensing magnetic resonance imaging[D](2018).

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    Xing HE, Lei WANG, Pengchao ZHANG, Shusheng WANG, Heng ZHANG. Image super-resolution reconstruction based on multidimensional attention network[J]. Chinese Journal of Liquid Crystals and Displays, 2025, 40(7): 1056

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    Paper Information

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    Received: Mar. 18, 2025

    Accepted: --

    Published Online: Aug. 11, 2025

    The Author Email: Lei WANG (leiwang@xaut.edu.cn)

    DOI:10.37188/CJLCD.2025-0058

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