Filtering, Unwrapping, and Denoising Sterategy for Quality Enhancement of the Noisy Wrapped Phase of the Neuronal Cells

Behnam Tayebi, Jae Ho Han

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We present a novel technique to improve the quality of a noisy phase by reducing the residues using sin/cos averaging, unwrapping by the 2D minimum-network-flow, and denoising by the non-local filter. The feasibility of technique is demonstrated by improving the phase of neuronal cells.

Original languageEnglish
Title of host publication31st Annual Conference of the IEEE Photonics Society, IPC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538653586
DOIs
Publication statusPublished - 2018 Nov 6
Event31st Annual Conference of the IEEE Photonics Society, IPC 2018 - Reston, United States
Duration: 2018 Sep 302018 Oct 4

Other

Other31st Annual Conference of the IEEE Photonics Society, IPC 2018
CountryUnited States
CityReston
Period18/9/3018/10/4

Keywords

  • Biophotonics
  • Denoising
  • Image Processing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Instrumentation
  • Atomic and Molecular Physics, and Optics

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    Tayebi, B., & Han, J. H. (2018). Filtering, Unwrapping, and Denoising Sterategy for Quality Enhancement of the Noisy Wrapped Phase of the Neuronal Cells. In 31st Annual Conference of the IEEE Photonics Society, IPC 2018 [8527304] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPCon.2018.8527304