• Acta Optica Sinica
  • Vol. 40, Issue 19, 1911002 (2020)
Yuejianan Gu, Yan Piao*, and Lijin Deng
Author Affiliations
  • College of Electronic and Information Engineering, Changchun University of Science and Technology, Changchun, Jilin 130022, China
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    DOI: 10.3788/AOS202040.1911002 Cite this Article Set citation alerts
    Yuejianan Gu, Yan Piao, Lijin Deng. Elemental Image Generation Algorithm Based on Reverse Mapping[J]. Acta Optica Sinica, 2020, 40(19): 1911002 Copy Citation Text show less
    EI generation principle of LF-EI algorithm
    Fig. 1. EI generation principle of LF-EI algorithm
    Coordinate relationship of same point on two adjacent EIs
    Fig. 2. Coordinate relationship of same point on two adjacent EIs
    Problem with LF-EI algorithm
    Fig. 3. Problem with LF-EI algorithm
    Principle of EI-LF algorithm to generate EI
    Fig. 4. Principle of EI-LF algorithm to generate EI
    Schematic of occluded area
    Fig. 5. Schematic of occluded area
    Flow chart of EI-LF algorithm
    Fig. 6. Flow chart of EI-LF algorithm
    Test images. (a) Scene images; (b) disparity images
    Fig. 7. Test images. (a) Scene images; (b) disparity images
    EI generated by two algorithms and its partial enlarged images. (a) LF-EI algorithm; (b) EI-LF algorithm
    Fig. 8. EI generated by two algorithms and its partial enlarged images. (a) LF-EI algorithm; (b) EI-LF algorithm
    3D light field multi-viewpoint images reproduced by LF-EI algorithm. (a) Left views; (b) front views; (c) right views
    Fig. 9. 3D light field multi-viewpoint images reproduced by LF-EI algorithm. (a) Left views; (b) front views; (c) right views
    3D light field multi-viewpoint images reproduced by EI-LF algorithm. (a) Left views; (b) front views; (c) right views
    Fig. 10. 3D light field multi-viewpoint images reproduced by EI-LF algorithm. (a) Left views; (b) front views; (c) right views
    AlgorithmStructureMatching processSolutionComputational formulaLens shape
    LF-EISimplenessMany-to-oneMap dead zone on EISLF×SlensAdapt
    EI-LFComplexOne-to-oneFour calculation methodsSEI×SlensAdapt
    Table 1. Comparison of characteristics of two algorithms
    Serial No.Scene image resolution /(pixel×pixel)Sum of all pixels on scene imageLens array (column×row)EIA resolution /(pixel×pixel)Sum of all pixels on EIPIntel®CoreTM i3-4010U CPU @1.70 GHZ /msIntel®CoreTM i7-7500U @2.70 GHZ /ms
    LF-EIEI-LFLF-EIEI-LF
    1353×2418507321×15358×256916482262196178791
    2450×1888460033×16562×27315342621672881600156
    3450×37516875033×28562×47726807443375063444203
    4340×75025500026×50443×85137699365687285540368
    5900×37633840059×281004×47747890892329976933442
    6678×75050850045×50766×85165186613547133510485602
    7900×75067500060×501021×85186887117942169214298817
    Table 2. Comparison of rate of two algorithms to generate EI array
    Yuejianan Gu, Yan Piao, Lijin Deng. Elemental Image Generation Algorithm Based on Reverse Mapping[J]. Acta Optica Sinica, 2020, 40(19): 1911002
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