Optoelectronic Technology, Volume. 42, Issue 4, 311(2022)

Study on Image Fusion Based on Latent Low⁃lank Representation and Cross⁃bilateral Filtering

Yuzhen SHEN, Peng ZHANG, Jun ZHANG, and Tao TANG
Author Affiliations
  • AVIC Huadong Photoelectric Co., Ltd, Wuhu Anhui 241002, CHN
  • show less
    Figures & Tables(7)
    Flow diagram of LatLRR algorithm
    Flow diagram of fusion algorithm
    Fusion images of "Camp"
    Fusion images of "Kaptein"
    Fusion images of "River"
    Index curve graphs
    • Table 1. Objective evaluation index of image fusion contrast experiment

      View table
      View in Article

      Table 1. Objective evaluation index of image fusion contrast experiment

      源图像方法APISDAGSF
      CampLatLRR120.669 034.239 47.079 09.984 0
      CBF89.887 727.418 28.661 511.644 4
      MSVD71.532 431.489 58.610 411.829 4
      文中方法154.992 041.738 96.772 38.604 6
      KapteinLatLRR106.405 241.824 15.542 87.430 1
      CBF85.807 733.193 07.899 911.018 1
      MSVD64.569 838.920 67.242 59.350 9
      文中方法140.291 353.358 04.437 85.880 1
      RiverLatLRR128.153 741.705 314.755 118.643 4
      CBF93.333 155.711 819.604 623.871 7
      MSVD92.788 757.124 112.776 818.779 8
      文中方法165.076 549.375 47.148 59.297 3
    Tools

    Get Citation

    Copy Citation Text

    Yuzhen SHEN, Peng ZHANG, Jun ZHANG, Tao TANG. Study on Image Fusion Based on Latent Low⁃lank Representation and Cross⁃bilateral Filtering[J]. Optoelectronic Technology, 2022, 42(4): 311

    Download Citation

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

    Category: Research and Trial-manufacture

    Received: May. 24, 2022

    Accepted: --

    Published Online: Dec. 23, 2022

    The Author Email:

    DOI:10.19453/j.cnki.1005-488x.2022.04.011

    Topics