Increasing the spatial resolution of signals in optical systems

Reconstruction of the signal in the intervals between discrete values is of great importance in solving the problem of spatial superresolution in optical microscopy and digital holography. The article deals with the issue of restoring high-resolution image elements from a certain number of raster im...

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Main Authors: V.I. Guzhov, I.O. Marchenko, E.E. Trubilina
Format: Article
Language:English
Published: Samara National Research University 2022-02-01
Series:Компьютерная оптика
Subjects:
Online Access:https://computeroptics.ru/eng/KO/Annot/KO46-1/460108e.html
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author V.I. Guzhov
I.O. Marchenko
E.E. Trubilina
author_facet V.I. Guzhov
I.O. Marchenko
E.E. Trubilina
author_sort V.I. Guzhov
collection DOAJ
description Reconstruction of the signal in the intervals between discrete values is of great importance in solving the problem of spatial superresolution in optical microscopy and digital holography. The article deals with the issue of restoring high-resolution image elements from a certain number of raster images displaced by a sub-pixel shift. The numerical values of the image samples are obtained by spatial integration over some finite area of regular rasters. The spatial resolution is increased using an analytical expression for the spectrum of discrete signals obtained using the apparatus of generalized functions. Unlike ideal sampling, the spectrum of the function is supplemented by a multiplier, whose form depends on the type of aperture. To obtain high-resolution image elements, it is necessary to divide the Fourier spectrum of the sampled image by a factor depending on the selected aperture. The spectrum of the aperture is usually used, therefore, if the spectrum of the image obtained by averaging over a certain aperture is known, then the spectrum of the original image can also be obtained. Apertures of various shapes are used, for example, elliptical, diamond-shaped, hexagonal, but most often rectangular apertures. The simulation results are presented for a rectangular aperture but in the case of its substitution with, for example, a set of regular apertures in the form of a circle, the expression will be true for regular circular rasters. The analytical expression for the spectrum of the image obtained by averaging over a certain aperture can be used to reconstruct the spectrum of the original image. Having received the inverse Fourier transform from it, it is possible to obtain the original image. With an increase in the spatial resolution it becomes possible to carry out studies by methods of digital holography of volumetric diffuse objects while retaining the quality of analog holography (when recording in photographic media) and create optical superresolution systems based on optical microscopes.
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spelling doaj.art-4c08836ea3034af1a18724a2ff6cdc5f2023-03-20T14:18:57ZengSamara National Research UniversityКомпьютерная оптика0134-24522412-61792022-02-01461657010.18287/2412-6179-CO-924Increasing the spatial resolution of signals in optical systemsV.I. Guzhov0I.O. Marchenko1E.E. Trubilina2Novosibirsk State Technical UniversityNovosibirsk State Technical UniversityNovosibirsk State Technical UniversityReconstruction of the signal in the intervals between discrete values is of great importance in solving the problem of spatial superresolution in optical microscopy and digital holography. The article deals with the issue of restoring high-resolution image elements from a certain number of raster images displaced by a sub-pixel shift. The numerical values of the image samples are obtained by spatial integration over some finite area of regular rasters. The spatial resolution is increased using an analytical expression for the spectrum of discrete signals obtained using the apparatus of generalized functions. Unlike ideal sampling, the spectrum of the function is supplemented by a multiplier, whose form depends on the type of aperture. To obtain high-resolution image elements, it is necessary to divide the Fourier spectrum of the sampled image by a factor depending on the selected aperture. The spectrum of the aperture is usually used, therefore, if the spectrum of the image obtained by averaging over a certain aperture is known, then the spectrum of the original image can also be obtained. Apertures of various shapes are used, for example, elliptical, diamond-shaped, hexagonal, but most often rectangular apertures. The simulation results are presented for a rectangular aperture but in the case of its substitution with, for example, a set of regular apertures in the form of a circle, the expression will be true for regular circular rasters. The analytical expression for the spectrum of the image obtained by averaging over a certain aperture can be used to reconstruct the spectrum of the original image. Having received the inverse Fourier transform from it, it is possible to obtain the original image. With an increase in the spatial resolution it becomes possible to carry out studies by methods of digital holography of volumetric diffuse objects while retaining the quality of analog holography (when recording in photographic media) and create optical superresolution systems based on optical microscopes.https://computeroptics.ru/eng/KO/Annot/KO46-1/460108e.htmlsamplingsampling ratespatial frequenciesgeneralized functionskotelnikov's theoremfourier transformspectrumsuperresolution
spellingShingle V.I. Guzhov
I.O. Marchenko
E.E. Trubilina
Increasing the spatial resolution of signals in optical systems
Компьютерная оптика
sampling
sampling rate
spatial frequencies
generalized functions
kotelnikov's theorem
fourier transform
spectrum
superresolution
title Increasing the spatial resolution of signals in optical systems
title_full Increasing the spatial resolution of signals in optical systems
title_fullStr Increasing the spatial resolution of signals in optical systems
title_full_unstemmed Increasing the spatial resolution of signals in optical systems
title_short Increasing the spatial resolution of signals in optical systems
title_sort increasing the spatial resolution of signals in optical systems
topic sampling
sampling rate
spatial frequencies
generalized functions
kotelnikov's theorem
fourier transform
spectrum
superresolution
url https://computeroptics.ru/eng/KO/Annot/KO46-1/460108e.html
work_keys_str_mv AT viguzhov increasingthespatialresolutionofsignalsinopticalsystems
AT iomarchenko increasingthespatialresolutionofsignalsinopticalsystems
AT eetrubilina increasingthespatialresolutionofsignalsinopticalsystems