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Faithful Transfer of 3D Propagation Characteristics of Deterministic and Random Optical Fields to Coded Aperture Imaging Systems Using Lucy-Richardson-Rosen Algorithm

  • Agnes Pristy Ignatius Xavier
  • , Francis Gracy Arockiaraj
  • , Shivasubramanian Gopinath
  • , Aravind Simon John Francis Rajeswary
  • , Andra Naresh Kumar Reddy
  • , Rashid A. Ganeev
  • , M. Scott Arockia Singh
  • , S. D.Milling Tania
  • , Vijayakumar Anand
    • University of Tartu
    • Ben-Gurion University of the Negev
    • Swinburne University of Technology

    Zinātniskās darbības rezultāts: Nodaļa grāmatā/enciklopēdijā/konferences krājumāKonferences zinātniskais rakstsPētniecībakoleģiāli recenzēts

    Kopsavilkums

    Engineering the complex amplitude and polarization of light is essential for various applications. In this direction, many deterministic and random optical beams such as Airy Bessel, and self-rotating beams were developed. While the above beams satisfied the requirements for the targeted applications, they are not suitable for imaging applications in spite of the valuable axial characteristics they possess, as they are not effective object-image mapping elements. Consequently, when exotic beams were implemented for direct imaging, only a distorted image was obtained. However, the scenario is different in coded aperture imaging (CAI) methods, where the imaging mode is indirect, consisting of optical recording and computational image recovery. Therefore, the point spread function (PSF) in CAI is not the recorded intensity distribution but the reconstructed intensity distribution. By employing a suitable computational reconstruction method, it is possible to convert the recorded intensity distribution into a Delta-like function. In this study, Lucy-Richardson-Rosen algorithm has been implemented as a generalized image recovery method for a wide range of optical beams, and the performance is validated in both simulation and optical experiments.

    OriģinālvalodaAngļu
    Publikācijas avota nosaukums2023 International Conference on Next Generation Electronics Nelex 2023
    ISBN (Elektroniski)9798350319088
    DOIs
    Publikācijas statussPublicēts - 2023

    Publikāciju sērijas

    Nosaukums2023 International Conference on Next Generation Electronics, NEleX 2023

    OECD Zinātnes nozare

    • 1.3 Fizika un astronomija

    Nospiedums

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