An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition

Iterative phase retrieval algorithms from multiple diffraction patterns in the terahertz (THz) frequency range are a promising tool of computational imaging capable of providing high spatial resolution of reconstructed phase images. One of the commonly used algorithms is SBMIR, which employs multipl...

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Main Authors: E.G. Tsiplakova, A. Chopard, N.S. Balbekin, O.A. Smolyanskaya, J.-B. Perraud, J.-P. Guillet, P. Mounaix, N.V. Petrov
Format: Article
Language:English
Published: Samara National Research University 2023-12-01
Series:Компьютерная оптика
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Online Access:https://www.computeroptics.ru/eng/KO/Annot/KO47-6/470607e.html
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author E.G. Tsiplakova
A. Chopard
N.S. Balbekin
O.A. Smolyanskaya
J.-B. Perraud
J.-P. Guillet
P. Mounaix
N.V. Petrov
author_facet E.G. Tsiplakova
A. Chopard
N.S. Balbekin
O.A. Smolyanskaya
J.-B. Perraud
J.-P. Guillet
P. Mounaix
N.V. Petrov
author_sort E.G. Tsiplakova
collection DOAJ
description Iterative phase retrieval algorithms from multiple diffraction patterns in the terahertz (THz) frequency range are a promising tool of computational imaging capable of providing high spatial resolution of reconstructed phase images. One of the commonly used algorithms is SBMIR, which employs multiple intensity distributions of the diffraction object wavefield as input data. Compared with single-frame methods, the multi-plane approach allows for a faster convergence, but requires time-consuming data acquisition from a receiver positioned at a variety of distances from the object. Previously, we proposed a method for THz data acquisition in a single scan mode, which allows one to quickly obtain an exhaustive set of diffraction distributions. In this paper we evaluate an up-to-date phase retrieval algorithm based on the SBMIR/R-SBMIR method (which utilizes stochastic wavefront propagation) on the experimental data captured by a single-scan technique. Unlike a number of conventional phase retrieval algorithms, which may require a series of numerical experiments for determining optimal intensity distributions from a large dataset, disordered propagation of the estimation wavefront guarantees the high-contrast and high-resolution image reconstruction without pre-setting the parameters. It is shown that the package use of the single-scan technique with the subsequent data processing using the R-SBMIR algorithm has application potential for automation of the multi-plane phase retrieval in the THz range.
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institution Kabale University
issn 0134-2452
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record_format Article
series Компьютерная оптика
spelling doaj-art-7c29b99e274d4dd3b745ab3a297545392025-01-23T09:39:59ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792023-12-0147690191210.18287/2412-6179-CO-1253An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisitionE.G. Tsiplakova0A. Chopard1N.S. Balbekin2O.A. Smolyanskaya3J.-B. Perraud4J.-P. Guillet5P. Mounaix6N.V. Petrov7ITMO UniversityIMS Laboratory, University of Bordeaux; Lytid SASITMO UniversityITMO UniversityOptikan SASIMS Laboratory, University of BordeauxIMS Laboratory, University of BordeauxITMO UniversityIterative phase retrieval algorithms from multiple diffraction patterns in the terahertz (THz) frequency range are a promising tool of computational imaging capable of providing high spatial resolution of reconstructed phase images. One of the commonly used algorithms is SBMIR, which employs multiple intensity distributions of the diffraction object wavefield as input data. Compared with single-frame methods, the multi-plane approach allows for a faster convergence, but requires time-consuming data acquisition from a receiver positioned at a variety of distances from the object. Previously, we proposed a method for THz data acquisition in a single scan mode, which allows one to quickly obtain an exhaustive set of diffraction distributions. In this paper we evaluate an up-to-date phase retrieval algorithm based on the SBMIR/R-SBMIR method (which utilizes stochastic wavefront propagation) on the experimental data captured by a single-scan technique. Unlike a number of conventional phase retrieval algorithms, which may require a series of numerical experiments for determining optimal intensity distributions from a large dataset, disordered propagation of the estimation wavefront guarantees the high-contrast and high-resolution image reconstruction without pre-setting the parameters. It is shown that the package use of the single-scan technique with the subsequent data processing using the R-SBMIR algorithm has application potential for automation of the multi-plane phase retrieval in the THz range.https://www.computeroptics.ru/eng/KO/Annot/KO47-6/470607e.htmlphase retrievalterahertz radiationiterative algorithmstochastic optimizationphase imagingquantum cascade laser
spellingShingle E.G. Tsiplakova
A. Chopard
N.S. Balbekin
O.A. Smolyanskaya
J.-B. Perraud
J.-P. Guillet
P. Mounaix
N.V. Petrov
An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition
Компьютерная оптика
phase retrieval
terahertz radiation
iterative algorithm
stochastic optimization
phase imaging
quantum cascade laser
title An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition
title_full An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition
title_fullStr An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition
title_full_unstemmed An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition
title_short An algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition
title_sort algorithm of unordered wavefront propagation in terahertz phase retrieval with dense multiplane data acquisition
topic phase retrieval
terahertz radiation
iterative algorithm
stochastic optimization
phase imaging
quantum cascade laser
url https://www.computeroptics.ru/eng/KO/Annot/KO47-6/470607e.html
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