Acta Optica Sinica, Volume. 38, Issue 6, 0611001(2018)

A Method of Eliminating Artifacts in Focused Light Field Imaging

Runxing Liu, Mingjun Ren*, and Gaobo Xiao
Author Affiliations
  • School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
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    Figures & Tables(10)
    Flow chart of sliding window fusion and adaptive median filtering based anti-aliasing algorithm
    Optical path of focused light field system
    Diagram of basic light field refocus algorithm
    Comparison of aliasing reducing in non-focusing area
    Flow chart of SWF algorithm
    Focal stacks and gradient stacks
    Aliasing reducing experiments. (a) w=5; (b) w=7; (c) w=11; (d) w=18
    Defocus response experiments. (a) Light field data; (b) defocus response of BR algorithm; (c) defocus response of MVF algorithm; (d) defocus response of proposed SWF+AMF algorithm
    • Table 1. Light field maximum angle sampling number Nmax of each algorithm

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      Table 1. Light field maximum angle sampling number Nmax of each algorithm

      Algorithmw=5w=7w=11w=18
      BR1111
      MVF2251003616
      SWF+AMF5041476142253364
    • Table 2. Detection of defocus response (number of correct detection/number of total detection)

      View table

      Table 2. Detection of defocus response (number of correct detection/number of total detection)

      AlgorithmScene 1Scene 2Scene 3Scene 4Scene 5Scene 6Total
      BR0/30/30/30/30/30/30/18
      MVF0/31/30/30/30/30/31/18
      SWF+AMF3/33/33/33/33/33/318/18
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    Runxing Liu, Mingjun Ren, Gaobo Xiao. A Method of Eliminating Artifacts in Focused Light Field Imaging[J]. Acta Optica Sinica, 2018, 38(6): 0611001

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    Paper Information

    Category: Imaging Systems

    Received: Dec. 1, 2017

    Accepted: --

    Published Online: Jul. 9, 2018

    The Author Email: Ren Mingjun (renmj@sjtu.edu.cn)

    DOI:10.3788/AOS201838.0611001

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