可灵活选择物体物理尺寸和观测区域的全息图像重建的数值方法和算法

IF 0.3 Q4 MATHEMATICS, INTERDISCIPLINARY APPLICATIONS

Vestnik Sankt-Peterburgskogo Universiteta Seriya 10 Prikladnaya Matematika Informatika Protsessy Upravleniya Pub Date : 2022-01-01 DOI:10.21638/11701/spbu10.2022.108

A. G. Fedorov, V. Trofimov, A. G. Karpov

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引用次数: 0

摘要

在本工作的框架内，给出了不同物理尺寸的物体和观测区域的全息图像的数值模拟和重建结果。提出了简单实用的方法来相对灵活地选择两个平面中的物理区域(例如，以m2为单位)。给出了物体平面尺寸与观测平面尺寸重合时的算法。提出了一种两步散射算法，用于全息图像的模拟和重建，该算法可以相对灵活地选择物体平面和观测的物理区域。

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Numerical methods and algorithms for reconstruction of holographic images with an flexibility choice of physical size of the object and observation area

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.

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来源期刊

Vestnik Sankt-Peterburgskogo Universiteta Seriya 10 Prikladnaya Matematika Informatika Protsessy Upravleniya MATHEMATICS, INTERDISCIPLINARY APPLICATIONS-

CiteScore

1.30

自引率

50.00%

发文量

期刊介绍： The journal is the prime outlet for the findings of scientists from the Faculty of applied mathematics and control processes of St. Petersburg State University. It publishes original contributions in all areas of applied mathematics, computer science and control. Vestnik St. Petersburg University: Applied Mathematics. Computer Science. Control Processes features articles that cover the major areas of applied mathematics, computer science and control.