Laser & Optoelectronics Progress, Volume. 62, Issue 16, 1615001(2025)

Super-Resolution Reconstruction and Denoising Tasks for Public Safety Scene Images Using the EnSwinIR Model

Qixiang Meng1, Fanliang Bu1、*, and Qiqi Kou2
Author Affiliations
  • 1School of Information Network Security, People's Public Security University of China, Beijing 100038, China
  • 2School of Computer Science and Technology, China University of Mining and Technology, Xuzhou 221116, Jiangsu , China
  • show less
    References(26)

    [12] Vaswani A, Shazeer N, Parmar N et al. Attention is all you need[C], 5998-6008(2017).

    [19] Chen Z, Zhang Y L, Gu J J et al. Recursive generalization transformer for image super-resolution[C], 17801-17809(2024).

    Tools

    Get Citation

    Copy Citation Text

    Qixiang Meng, Fanliang Bu, Qiqi Kou. Super-Resolution Reconstruction and Denoising Tasks for Public Safety Scene Images Using the EnSwinIR Model[J]. Laser & Optoelectronics Progress, 2025, 62(16): 1615001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Machine Vision

    Received: Dec. 5, 2024

    Accepted: Feb. 7, 2025

    Published Online: Aug. 18, 2025

    The Author Email: Fanliang Bu (20051257@ppsuc.edu.cn)

    DOI:10.3788/LOP242377

    CSTR:32186.14.LOP242377

    Topics