Численные методы и алгоритмы восстановления голографических изображений с произвольным выбором физических размеров плоскости объекта и наблюдения

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Численные методы и алгоритмы восстановления голографических изображений с произвольным выбором физических размеров плоскости объекта и наблюдения. / Fedorov, Arthur G.; Trofimov, Vasiliy V.; Karpov, Andrey G.

в: Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya, Том 18, № 1, 2022, стр. 99-110.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

BibTeX

@article{7c99786fe4f64e4a8f5ef0e2c94d032c,

title = "Численные методы и алгоритмы восстановления голографических изображений с произвольным выбором физических размеров плоскости объекта и наблюдения",

abstract = "Within the framework of this work, the numerical results of simulation and reconstruction of holographic images with different physical sizes of the object and observation areas are presented. Simple and practical approaches to relatively flexibility choice of physical areas (e. g., units of m2) in both planes are proposed. Algorithms are presented in the case when the dimensions of the plane of the object and observation coincide. Two-step scattering algorithms are presented for the simulation and reconstruction of holographic images with a relatively flexibility choice of the physical areas of the object plane and observation.",

keywords = "angular spectrum method, digital image processing, electron holography, Fourier transform, Fresnel method",

author = "Fedorov, {Arthur G.} and Trofimov, {Vasiliy V.} and Karpov, {Andrey G.}",

year = "2022",

doi = "10.21638/11701/SPBU10.2022.108",

language = "русский",

volume = "18",

pages = "99--110",

journal = " ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ",

issn = "1811-9905",

publisher = "Издательство Санкт-Петербургского университета",

number = "1",

}

RIS

TY - JOUR

T1 - Численные методы и алгоритмы восстановления голографических изображений с произвольным выбором физических размеров плоскости объекта и наблюдения

AU - Fedorov, Arthur G.

AU - Trofimov, Vasiliy V.

AU - Karpov, Andrey G.

PY - 2022

Y1 - 2022

N2 - Within the framework of this work, the numerical results of simulation and reconstruction of holographic images with different physical sizes of the object and observation areas are presented. Simple and practical approaches to relatively flexibility choice of physical areas (e. g., units of m2) in both planes are proposed. Algorithms are presented in the case when the dimensions of the plane of the object and observation coincide. Two-step scattering algorithms are presented for the simulation and reconstruction of holographic images with a relatively flexibility choice of the physical areas of the object plane and observation.

AB - Within the framework of this work, the numerical results of simulation and reconstruction of holographic images with different physical sizes of the object and observation areas are presented. Simple and practical approaches to relatively flexibility choice of physical areas (e. g., units of m2) in both planes are proposed. Algorithms are presented in the case when the dimensions of the plane of the object and observation coincide. Two-step scattering algorithms are presented for the simulation and reconstruction of holographic images with a relatively flexibility choice of the physical areas of the object plane and observation.

KW - angular spectrum method

KW - digital image processing

KW - electron holography

KW - Fourier transform

KW - Fresnel method

UR - http://www.scopus.com/inward/record.url?scp=85134172937&partnerID=8YFLogxK

UR - https://www.mendeley.com/catalogue/c649787f-58c9-363d-8c77-4b3ac8728d29/

U2 - 10.21638/11701/SPBU10.2022.108

DO - 10.21638/11701/SPBU10.2022.108

M3 - статья

AN - SCOPUS:85134172937

VL - 18

SP - 99

EP - 110

JO - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ

JF - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ

SN - 1811-9905

IS - 1

ER -

ID: 97330366