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Acta Optica Sinica, Volume. 39, Issue 9, 0910001(2019)

Multi-Exposure Image Fusion De-Ghosting Algorithm Based on Image Block Decomposition

Xiayi Ma, Fangqing Fan, Taoran Lu, Zihao Wang, and Bin Sun*
Author Affiliations
  • School of Aeronautics and Astronautics, University of Electronic Science and Technology of China, Chengdu, Sichuan 611731, China
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    AbstractGet PDF(in Chinese)
    Figures&Tables (8)
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    References (19)
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    Figures & Tables(8)
    Framework of proposed algorithm

    Fig. 1. Framework of proposed algorithm

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    Framework of ghost detection and removal

    Fig. 2. Framework of ghost detection and removal

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    Input ghost detection images of multi-exposure Puppet sequence. (a) Input multi-exposure Puppet sequence; (b) corresponding structural consistency binary images

    Fig. 3. Input ghost detection images of multi-exposure Puppet sequence. (a) Input multi-exposure Puppet sequence; (b) corresponding structural consistency binary images

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    Comparing results of de-ghosting experiment of Sculpture garden sequence. (a) Sculpture garden image sequence; (b)(g) Oh's algorithm; (c)(h) Sen's algorithm; (d)(i) photomatix's algorithm; (e)(j) Ma's algorithm; (f)(k) proposed algorithm

    Fig. 4. Comparing results of de-ghosting experiment of Sculpture garden sequence. (a) Sculpture garden image sequence; (b)(g) Oh's algorithm; (c)(h) Sen's algorithm; (d)(i) photomatix's algorithm; (e)(j) Ma's algorithm; (f)(k) proposed algorithm

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    Comparing results of de-ghosting experiments of puppets sequence. (a) puppets image sequence; (b)(g) Oh's algorithm; (c)(h) Sen's algorithm; (d)(i) photomatix's algorithm; (e)(j) Ma's algorithm; (f)(k) proposed algorithm

    Fig. 5. Comparing results of de-ghosting experiments of puppets sequence. (a) puppets image sequence; (b)(g) Oh's algorithm; (c)(h) Sen's algorithm; (d)(i) photomatix's algorithm; (e)(j) Ma's algorithm; (f)(k) proposed algorithm

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    Comparing results of de-ghosting experiments of BabyOnGrass sequence. (a) BabyOnGrass image sequence; (b)(g) Oh's algorithm; (c)(h) Sen's algorithm; (d)(i) photomatix's algorithm; (e)(j) Ma's algorithm; (f)(k) proposed algorithm

    Fig. 6. Comparing results of de-ghosting experiments of BabyOnGrass sequence. (a) BabyOnGrass image sequence; (b)(g) Oh's algorithm; (c)(h) Sen's algorithm; (d)(i) photomatix's algorithm; (e)(j) Ma's algorithm; (f)(k) proposed algorithm

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    • Table 1. Evaluation results of five algorithms using HDR-VDP2 model

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      Table 1. Evaluation results of five algorithms using HDR-VDP2 model

      Image sequenceQmos
      Oh's algorithmSen's algorithmphotomatix'salgorithmMa's algorithmProposedalgorithm
      Sculpture garden image sequence39.563244.887648.663546.169145.3746
      puppets image sequence50.557451.693447.774752.434952.4408
      BabyOnGrass image sequence44.432950.722042.231744.527657.9048
      Average value44.851249.101046.223247.708151.9067

    • Table 2. Comparison of computational efficiencies of different high-dynamic-range image de-ghosting algorithmss

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      Table 2. Comparison of computational efficiencies of different high-dynamic-range image de-ghosting algorithmss

      Image sequenceImage size /(pixel×pixel)Time
      Oh'salgorithmSen's algorithmMa's algorithmProposedalgorithm
      Sculpture garden image sequence1024×75491.06297.0322.2012.18
      puppets image sequence812×102477.94230.8524.8913.16
      BabyOnGrass image sequence900×1350127.15145.3618.1417.67
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    Xiayi Ma, Fangqing Fan, Taoran Lu, Zihao Wang, Bin Sun. Multi-Exposure Image Fusion De-Ghosting Algorithm Based on Image Block Decomposition[J]. Acta Optica Sinica, 2019, 39(9): 0910001

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    Paper Information

    Category: Image Processing

    Received: Mar. 29, 2019

    Accepted: May. 23, 2019

    Published Online: Sep. 9, 2019

    The Author Email: Sun Bin (sunbinhust@uestc.edu.cn)

    DOI:10.3788/AOS201939.0910001

    Topics

    laser devices and laser physics
    Lasers and Laser Optics
    Laser physics
    laser manufacturing
    Instrumentation, Measurement and Metrology