Hyperspectral data denoising for terahertz pulse time-domain holography

Maksim Kulya, Nikolay V. Petrov, Anton Tsypkin, Karen Egiazarian, Vladimir Katkovnik

Research output: Contribution to journalArticleScientificpeer-review

13 Citations (Scopus)

Abstract

We investigated data denoising in hyperspectral terahertz pulse time-domain holography. Using the block-matching algorithms adapted for spatio-temporal and spatio-spectral volumetric data we studied and optimized parameters of these algorithms to improve phase image reconstruction quality. We propose a sequential application of the two algorithms oriented on work in temporal and spectral domains. Experimental data demonstrate the improvement in the quality of the resultant time-domain images as well as phase images and object’s relief. The simulation results are proved by comparison with the experimental ones.

Original languageEnglish
Pages (from-to)18456-18476
Number of pages21
JournalOptics Express
Volume27
Issue number13
DOIs
Publication statusPublished - 2019
Publication typeA1 Journal article-refereed

Publication forum classification

  • Publication forum level 1

ASJC Scopus subject areas

  • Atomic and Molecular Physics, and Optics

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