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Terahertz pulse time-domain holography with balance detection: Complex-domain sparse imaging

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Terahertz pulse time-domain holography with balance detection : Complex-domain sparse imaging. / Kulya, Maksim; Petrov, Nikolay V.; Katkovnik, Vladimir; Egiazarian, Karen.

julkaisussa: Applied Optics, Vuosikerta 58, Nro 34, 01.12.2019, s. G61-G70.

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Kulya, Maksim ; Petrov, Nikolay V. ; Katkovnik, Vladimir ; Egiazarian, Karen. / Terahertz pulse time-domain holography with balance detection : Complex-domain sparse imaging. Julkaisussa: Applied Optics. 2019 ; Vuosikerta 58, Nro 34. Sivut G61-G70.

Bibtex - Lataa

@article{e3b4758adc124ae785f39c3e76937a7b,
title = "Terahertz pulse time-domain holography with balance detection: Complex-domain sparse imaging",
abstract = "We investigated the peculiarities of the terahertz pulse time-domain holography principle in the case of raster scanning with the balance detection system. The noise in this system represents a Skellam distribution model, which differentiates it from systems based on a photoconductive antenna. We analyzed this Skellam model and provided both numerical and experimental investigations. We found that the variance of the noise in the balance detection system does not depend on the true signal. Complex-domain images obtained in this model are filtered by block-matching algorithms adapted for spatio-temporal and spatiospectral volumetric data. We presented a new cube complex-domain filter algorithm that uses block matching in all 3D data sets simultaneously in spatial and frequency coordinates. A combination of temporal and complex-domain filters allows us to expand the dynamic range of terahertz frequencies for which we can obtain amplitude/phase information. Experimental data demonstrate an improvement in the quality of the resultant images both in the time domain and complex-spectral domain. The simulation and experimental results are in good agreement.",
author = "Maksim Kulya and Petrov, {Nikolay V.} and Vladimir Katkovnik and Karen Egiazarian",
year = "2019",
month = "12",
day = "1",
doi = "10.1364/AO.58.000G61",
language = "English",
volume = "58",
pages = "G61--G70",
journal = "Applied Optics",
issn = "1559-128X",
publisher = "Optical Society of America",
number = "34",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Terahertz pulse time-domain holography with balance detection

T2 - Complex-domain sparse imaging

AU - Kulya, Maksim

AU - Petrov, Nikolay V.

AU - Katkovnik, Vladimir

AU - Egiazarian, Karen

PY - 2019/12/1

Y1 - 2019/12/1

N2 - We investigated the peculiarities of the terahertz pulse time-domain holography principle in the case of raster scanning with the balance detection system. The noise in this system represents a Skellam distribution model, which differentiates it from systems based on a photoconductive antenna. We analyzed this Skellam model and provided both numerical and experimental investigations. We found that the variance of the noise in the balance detection system does not depend on the true signal. Complex-domain images obtained in this model are filtered by block-matching algorithms adapted for spatio-temporal and spatiospectral volumetric data. We presented a new cube complex-domain filter algorithm that uses block matching in all 3D data sets simultaneously in spatial and frequency coordinates. A combination of temporal and complex-domain filters allows us to expand the dynamic range of terahertz frequencies for which we can obtain amplitude/phase information. Experimental data demonstrate an improvement in the quality of the resultant images both in the time domain and complex-spectral domain. The simulation and experimental results are in good agreement.

AB - We investigated the peculiarities of the terahertz pulse time-domain holography principle in the case of raster scanning with the balance detection system. The noise in this system represents a Skellam distribution model, which differentiates it from systems based on a photoconductive antenna. We analyzed this Skellam model and provided both numerical and experimental investigations. We found that the variance of the noise in the balance detection system does not depend on the true signal. Complex-domain images obtained in this model are filtered by block-matching algorithms adapted for spatio-temporal and spatiospectral volumetric data. We presented a new cube complex-domain filter algorithm that uses block matching in all 3D data sets simultaneously in spatial and frequency coordinates. A combination of temporal and complex-domain filters allows us to expand the dynamic range of terahertz frequencies for which we can obtain amplitude/phase information. Experimental data demonstrate an improvement in the quality of the resultant images both in the time domain and complex-spectral domain. The simulation and experimental results are in good agreement.

U2 - 10.1364/AO.58.000G61

DO - 10.1364/AO.58.000G61

M3 - Article

VL - 58

SP - G61-G70

JO - Applied Optics

JF - Applied Optics

SN - 1559-128X

IS - 34

ER -