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Electronics and Telecommunications Research Institute (한국전자통신연구원)
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Noise reduction method using a variance map of the phase differences in digital holographic microscopy

  • Hyun-Woo Kim (Department of Computer Science and Networks, Kyushu Institute of Technology) ;
  • 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 : 2021.09.28
  • Accepted : 2021.12.28
  • Published : 2023.02.20
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Abstract

The phase reconstruction process in digital holographic microscopy involves a trade-off between the phase error and the high-spatial-frequency components. In this reconstruction process, if the narrow region of the sideband is windowed in the Fourier domain, the phase error from the DC component will be reduced, but the high-spatial-frequency components will be lost. However, if the wide region is windowed, the 3D profile will include the high-spatial-frequency components, but the phase error will increase. To solve this trade-off, we propose the high-variance pixel averaging method, which uses the variance map of the reconstructed depth profiles of the windowed sidebands of different sizes in the Fourier domain to classify the phase error and the high-spatial-frequency components. Our proposed method calculates the average of the high-variance pixels because they include the noise from the DC component. In addition, for the nonaveraged pixels, the reconstructed phase data created by the spatial frequency components of the widest window are used to include the high-spatialfrequency components. We explain the mathematical algorithm of our proposed method and compare it with conventional methods to verify its advantages.

Keywords

Acknowledgement

This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF2017K1A3A1A19070753).

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