Overview
FrançaisABSTRACT
Geometric optics and wave optics are familiar fields. However, Fourier optics, linked to the theory of signal processing, gives an efficient explanation of phenomena related to the propagation of light waves. After a detailed theoretical description, some classic examples are given to illustrate its use.
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Read the articleAUTHORS
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Christophe LABBÉ: Lecturer at the University of Caen Normandie Univ, UNICAEN, IUT de Caen, Département Mesures Physiques, Caen, France Normandie Univ, ENSICAEN, UNICAEN, CEA, CNRS, CIMAP Caen, France
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Benoît PLANCOULAINE: Associate Professor, University of Caen Normandie Univ, UNICAEN, IUT de Caen, Département Mesures Physiques, Caen, France Normandie Univ, UNICAEN, INSERM, ANTICIPE, Caen, France - Faculty of Medicine, Vilnius University, Vilnius, Lithuania
INTRODUCTION
Fourier optics, which requires the coherence of light sources, is based on a scalar representation of the electromagnetic field, justified by the independence of its spatio-temporal components. The aim of this article is to find the light amplitude at a point in space in order to deduce the intensity collected by an optical sensor. To achieve this goal, a wavelet decomposition is first performed. Then, its microscopic formulation is presented with the wave equation, leading to a macroscopic representation to study its applications.
Secondly, the study of experimental constraints makes it necessary to define several domains in order to interpret light phenomena. In particular, the notion of near-field and far-field is developed for the study of diffraction. Several classic examples are treated, such as diffraction by an edge and by different apertures. The Fourier transform is then used to obtain light intensity. Then, thanks to the introduction of a simple converging lens, Fourier optics is used in a range of applications compatible with the reduced dimensions of optical systems.
This article concludes with the technical implementation of the Fourier transform in optics. The classical notion of frequency is then introduced in its spatial form. The definition and some properties of the Fourier transform are briefly recalled, before tackling well-known examples such as the diffraction grating. These examples are treated in analog form, then updated in digital form to introduce sampling.
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At the end of the article, readers will find a glossary and a table of symbols used.
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KEYWORDS
sampling | wavelets | Interference | wave optics | Fresnel's trabsform | | diffraction grating
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Towards digital Fourier optics
Bibliography
Works
LAUG (M.) – Optical Signal and Image Processing. CEPADUES Éditions (1980).
MARAIS (B.) – Exercices d'optique de Fourier. Dunod Université (1980).
FRANÇON (M.) – Holography. Masson et Cie (1969).
Reviews
Numerous industrial applications in Fourier optics "Photonics https://www.photoniques.com/
Software tools (non-exhaustive list)
Imagej" image processing software https://imagej.nih.gov/ij/
A "Numerical wave propagation" plug-in in Imagej enables simulation of the very near and near-field transformation. An article is dedicated to this plugin: Piedrahita-Quintero P, Castañeda R, Garcia-Sucerquia, Numerical wave propagation in ImageJ,...
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