Journal of information and communication convergence engineering

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
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Phase Differences Averaging (PDA) Method for Reducing the Phase Error in Digital Holographic Microscopy (DHM)

  • Hyun-Woo, Kim (Department of Computer Science and Networks, Kyushu Institute of Technology) ;
  • Jaehoon, Lee (Department of Computer Science and Networks, Kyushu Institute of Technology) ;
  • Arun, Anand (Department of Physics, Sardar Patel University) ;
  • Myungjin, Cho (School of ICT, Robotics, and Mechanical Engineering, IITC, Hankyong National University) ;
  • Min-Chul, Lee (Department of Computer Science and Networks, Kyushu Institute of Technology)
  • Received : 2022.08.08
  • Accepted : 2022.10.14
  • Published : 2023.03.31
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Abstract

Digital holographic microscopy (DHM) is a three-dimensional (3D) imaging technique that uses the phase information of coherent light. In the reconstruction process of DHM, a narrow region around the positive or negative sideband from the Fourier domain is windowed to avoid noise due to the DC spectrum of the hologram spectrum. However, the limited size of the window also degrades the high-frequency information of the 3D object profile. Although a large window can have more detailed information of the 3D object shape, the noise is increased. To solve this trade-off, we propose phase difference averaging (PDA). The proposed method yields high-frequency information of the specimen while reducing the DC noise. In this paper, we explain the reconstruction algorithm for this method and compare it to various conventional filtering methods including Gaussian, Wiener, average, median, and bilateral filtering methods.

Keywords

Acknowledgement

This work was supported by the Japan-Korea Basic Scientific Cooperation Program between JSPS and NRF, Grant number (JPJSBP 120228811), and this work was supported under the framework of the international cooperation program managed by the National Research Foundation of Korea(NRF-2022K2A9A2A08000152, FY2022).

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