Hyperspectral terahertz pulse time-domain holography: Noise filtering

Maksim Kulya, Nikolay Petrov, Karen Egiazarian, Vladimir Katkovnik

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

2 Citations (Scopus)

Abstract

Using the block-matching denoising algorithms adapted to spatio-temporal and spatio-spectral volumetric data, we studied and optimized the parameters of these algorithms to improve the phase/amplitude image reconstruction in hyperspectral terahertz pulse time-domain holography. We propose a sequential application of two different algorithms oriented on work in temporal and spectral domains. Experimental data demonstrates essential improvement in the quality of the resulting phase imaging.

Original languageEnglish
Title of host publicationProceedings Digital Holography and Three-Dimensional Imaging 2019
PublisherOptical Society of America (OSA)
ISBN (Electronic)9781943580590
DOIs
Publication statusPublished - 13 May 2019
Publication typeA4 Article in a conference publication
EventDigital Holography and Three-Dimensional Imaging, DH 2019 - Bordeaux, France
Duration: 19 May 201923 May 2019

Publication series

NameProceedings Digital Holography and Three-Dimensional Imaging 2019

Conference

ConferenceDigital Holography and Three-Dimensional Imaging, DH 2019
CountryFrance
CityBordeaux
Period19/05/1923/05/19

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Atomic and Molecular Physics, and Optics

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