Acta Photonica Sinica, Volume. 51, Issue 11, 1110001(2022)

High Dynamic Range Image Fusion Algorithm Based on Local Weighted Superposition

Lulu GUO1,2 and Hongwei YI1、*
Author Affiliations
  • 1Xi′an Institute of Optics and Precision Mechanics,Chinese Academy of Sciences,Xi′an710119,China
  • 2University of Chinese Academy of Sciences,Beijing 100049,China
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    Figures & Tables(9)
    Schematic diagram of fused HDR image of high-brightness image and low-brightness image
    Algorithm flow chart for judging pixel exposure
    Fusion algorithm flow chart of three exposure situations
    Pixel ratio factor curves for baseline and test image sets of three sets of images
    Fusion results of three groups of image under different size windows
    Fusion results of two sets of images with and without Gaussian noise
    Comparison of three sets of image fusion results
    • Table 1. Peak signal-to-noise ratioof the fusion results of each algorithm

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      Table 1. Peak signal-to-noise ratioof the fusion results of each algorithm

      PSNRSzeliski’ methodWavelet transformProposed method
      Memorial11.849 611.250 321.867 8
      Syn11.775 625.497 825.709 4
      Belg15.703 422.662 230.760 8
    • Table 2. Structural similarity index measureof the fusion results of each algorithm

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      Table 2. Structural similarity index measureof the fusion results of each algorithm

      SSIMSzeliski’ methodWavelet transformProposed method
      Memorial0.466 20.440 20.754 2
      Syn0.514 60.880 80.933 2
      Belg0.711 20.851 80.876 5
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    Lulu GUO, Hongwei YI. High Dynamic Range Image Fusion Algorithm Based on Local Weighted Superposition[J]. Acta Photonica Sinica, 2022, 51(11): 1110001

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    Paper Information

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    Received: Apr. 14, 2022

    Accepted: Apr. 21, 2022

    Published Online: Dec. 13, 2022

    The Author Email: Hongwei YI (Yihongwei@opt.ac.cn)

    DOI:10.3788/gzxb20225111.1110001

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