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Lensless hyperspectral phase imaging in a self-reference setup based on Fourier transform spectroscopy and noise suppression

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Lensless hyperspectral phase imaging in a self-reference setup based on Fourier transform spectroscopy and noise suppression. / Shevkunov, Igor; Katkovnik, Vladimir; Egiazarian, Karen.

In: Optics Express, Vol. 28, No. 12, 06.2020, p. 17944-17956.

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@article{e555d2709bb24fbaa2b925b6258d4d05,
title = "Lensless hyperspectral phase imaging in a self-reference setup based on Fourier transform spectroscopy and noise suppression",
abstract = "A novel phase retrieval algorithm for broadband hyperspectral phase imaging from noisy intensity observations is proposed. It utilizes advantages of the Fourier transform spectroscopy in the self-referencing optical setup and provides additional, beyond spectral intensity distribution, reconstruction of the investigated object's phase. The noise amplification Fellgett's disadvantage is relaxed by the application of a sparse wavefront noise filtering embedded in the proposed algorithm. The algorithm reliability is proved by simulation tests and by results of physical experiments for transparent objects. These tests demonstrate precise phase imaging and object depth (profile) reconstruction.",
author = "Igor Shevkunov and Vladimir Katkovnik and Karen Egiazarian",
year = "2020",
month = "6",
doi = "10.1364/OE.393009",
language = "English",
volume = "28",
pages = "17944--17956",
journal = "Opt. Express",
issn = "1094-4087",
publisher = "OPTICAL SOC AMER",
number = "12",

}

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TY - JOUR

T1 - Lensless hyperspectral phase imaging in a self-reference setup based on Fourier transform spectroscopy and noise suppression

AU - Shevkunov, Igor

AU - Katkovnik, Vladimir

AU - Egiazarian, Karen

PY - 2020/6

Y1 - 2020/6

N2 - A novel phase retrieval algorithm for broadband hyperspectral phase imaging from noisy intensity observations is proposed. It utilizes advantages of the Fourier transform spectroscopy in the self-referencing optical setup and provides additional, beyond spectral intensity distribution, reconstruction of the investigated object's phase. The noise amplification Fellgett's disadvantage is relaxed by the application of a sparse wavefront noise filtering embedded in the proposed algorithm. The algorithm reliability is proved by simulation tests and by results of physical experiments for transparent objects. These tests demonstrate precise phase imaging and object depth (profile) reconstruction.

AB - A novel phase retrieval algorithm for broadband hyperspectral phase imaging from noisy intensity observations is proposed. It utilizes advantages of the Fourier transform spectroscopy in the self-referencing optical setup and provides additional, beyond spectral intensity distribution, reconstruction of the investigated object's phase. The noise amplification Fellgett's disadvantage is relaxed by the application of a sparse wavefront noise filtering embedded in the proposed algorithm. The algorithm reliability is proved by simulation tests and by results of physical experiments for transparent objects. These tests demonstrate precise phase imaging and object depth (profile) reconstruction.

U2 - 10.1364/OE.393009

DO - 10.1364/OE.393009

M3 - Article

VL - 28

SP - 17944

EP - 17956

JO - Opt. Express

JF - Opt. Express

SN - 1094-4087

IS - 12

ER -