Laser & Optoelectronics Progress, Volume. 62, Issue 19, 1906016(2025)

Self-Supervised Denoising Method for Polarization Image Based on Mask Strategy (Invited)

Haofeng Hu1,2,3, Tianci Li1,3, Yuanyang Bu4, and Linghao Shen2、*
Author Affiliations
  • 1School of Future Technology, Tianjin University, Tianjin 300072, China
  • 2School of Marine Science and Technology, Tianjin University, Tianjin 300072, China
  • 3School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China
  • 4School of Automation, Northwestern Polytechnical University, Xi'an 710072, Shaanxi , China
  • show less
    References(32)

    [4] Zhou M, Ran H C, Wang Y et al. Multi-view fusion object detection method based on lidar point cloud projection[J]. Acta Optica Sinica, 45, 1228006(2025).

    [5] Han Y L, Chen D A, Wu T et al. Infrared traffic object detection network for edge device deployment[J]. Acta Optica Sinica, 45, 0910002(2025).

    [7] Qin F P, Liu G H, Huang H M et al. Three-dimensional reconstruction based on spatial geometric constraints using trinocular multi-line laser galvanometer[J]. Acta Optica Sinica, 45, 1511002(2025).

    [10] Buades A, Coll B, Morel J M. A non-local algorithm for image denoising[C], 60-65(2005).

    Tools

    Get Citation

    Copy Citation Text

    Haofeng Hu, Tianci Li, Yuanyang Bu, Linghao Shen. Self-Supervised Denoising Method for Polarization Image Based on Mask Strategy (Invited)[J]. Laser & Optoelectronics Progress, 2025, 62(19): 1906016

    Download Citation

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

    Category: Fiber Optics and Optical Communications

    Received: Jun. 11, 2025

    Accepted: Jul. 21, 2025

    Published Online: Sep. 28, 2025

    The Author Email: Linghao Shen (shenlinghao@tju.edu.cn)

    DOI:10.3788/LOP251422

    CSTR:32186.14.LOP251422

    Topics