Complex-domain sparse imaging in terahertz pulse time-domain holography with balance detection

Maksim S. Kulya, Vladimir Katkovnik, Karen Egiazarian, Nikolay V. Petrov

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

1 Citation (Scopus)
13 Downloads (Pure)

Abstract

Terahertz pulse time-domain holography (THz PTDH) is an ultimate technique both for the measurement of object optical properties and broadband wavefront sensing. However, THz PTDH has valuable restriction connected with low signal-to-noise ratio which becomes a serious issue in coherent measurements. This noise problem could be solved by filtering with use of modern block-matching algorithms based on nonlocal similarity of small patches of images existing in investigated objects. Here we present the study on the use of denoising algorithms applied for hyperspectral THz data in the spatio-temporal and spatial-spectral domain. We provide a numerical simulation of denoising in case of broadband uniform topologically charged (BUTCH) beam of pulsed THz radiation.

Original languageEnglish
Title of host publicationTerahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications XIII
EditorsLaurence P. Sadwick, Tianxin Yang
PublisherSPIE
ISBN (Electronic)9781510633216
DOIs
Publication statusPublished - 2020
Publication typeA4 Article in conference proceedings
EventTerahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications - San Francisco, United States
Duration: 3 Feb 20206 Feb 2020

Publication series

NameProceedings of SPIE
Volume11279
ISSN (Print)0277-786X
ISSN (Electronic)1996-756X

Conference

ConferenceTerahertz, RF, Millimeter, and Submillimeter-Wave Technology and Applications
Country/TerritoryUnited States
CitySan Francisco
Period3/02/206/02/20

Keywords

  • Hyperspectral data denoising
  • Pulse time-domain holography
  • Sparse imaging
  • THz radiation

Publication forum classification

  • Publication forum level 0

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Computer Science Applications
  • Applied Mathematics
  • Electrical and Electronic Engineering

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