Superposition Imaging for Three-Dimensionally Space-Invariant Point Spread Functions

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著者

    • Horisaki Ryoichi Horisaki Ryoichi
    • Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University, Suita, Osaka 565-0871, Japan
    • Nakamura Tomoya Nakamura Tomoya
    • Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University, Suita, Osaka 565-0871, Japan
    • Tanida Jun Tanida Jun
    • Department of Information and Physical Sciences, Graduate School of Information Science and Technology, Osaka University, Suita, Osaka 565-0871, Japan

抄録

In this paper, we propose an aberration compensation method using superposition imaging and inexpensive postprocessing. In the method, the focusing distance and optical axis position of an imaging system with aberrations are varied over certain ranges, and the resulting images are superposed to equalize the point spread function (PSF) within a three-dimensional region and remove space variance. A sharp image of an object with a large depth-of-field and field-of-view is then reconstructed by deconvolution of the superposed image using the effective three-dimensionally space-invariant PSF. The effectiveness of the proposed method was verified by simulations assuming defocus, the five Seidel aberrations, and vignetting.

収録刊行物

  • Applied physics express

    Applied physics express 4(11), 112501-112501-3, 2011-11-25

    The Japan Society of Applied Physics

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各種コード

  • NII論文ID(NAID)
    10030153386
  • NII書誌ID(NCID)
    AA12295133
  • 本文言語コード
    EN
  • 資料種別
    SHO
  • ISSN
    18820778
  • NDL 記事登録ID
    023321150
  • NDL 請求記号
    Z78-A526
  • データ提供元
    CJP書誌  NDL  JSAP 
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