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Fourier optics and computational imaging

Khare, Kedar.

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Fourier optics and computational imaging

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Fourier optics and computational imaging/ by Kedar Khare, Mansi Butola, Sunaina Rajora.
作者:	Khare, Kedar.
其他作者:	Butola, Mansi.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xv, 294 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction -- Fourier series and transform -- Sampling Theorem -- Operational introduction to Fast Fourier Transform -- Linear systems formalism and introduction to inverse problems in imaging -- Constrained optimization methods for image recovery -- Random processes -- Geometrical Optics Essentials -- Wave equation and introduction to diffraction of light -- The angular spectrum method.
Contained By:	Springer Nature eBook
標題:	Fourier transform optics. -
電子資源:	https://doi.org/10.1007/978-3-031-18353-9
ISBN:	9783031183539

Fourier optics and computational imaging
Khare, Kedar.

Fourier optics and computational imaging[electronic resource] /by Kedar Khare, Mansi Butola, Sunaina Rajora. - Second edition. - Cham :Springer International Publishing :2023. - xv, 294 p. :ill. (some col.), digital ;24 cm.

Introduction -- Fourier series and transform -- Sampling Theorem -- Operational introduction to Fast Fourier Transform -- Linear systems formalism and introduction to inverse problems in imaging -- Constrained optimization methods for image recovery -- Random processes -- Geometrical Optics Essentials -- Wave equation and introduction to diffraction of light -- The angular spectrum method.

The book is designed to serve as a textbook for advanced undergraduate and graduate students enrolled in physics and electronics and communication engineering and mathematics. The book provides an introduction to Fourier optics in light of new developments in the area of computational imaging over the last couple of decades. There is an in-depth discussion of mathematical methods such as Fourier analysis, linear systems theory, random processes, and optimization-based image reconstruction techniques. These techniques are very much essential for a better understanding of the working of computational imaging systems. It discusses topics in Fourier optics, e.g., diffraction phenomena, coherent and incoherent imaging systems, and some aspects of coherence theory. These concepts are then used to describe several system ideas that combine optical hardware design and image reconstruction algorithms, such as digital holography, iterative phase retrieval, super-resolution imaging, point spread function engineering for enhanced depth-of-focus, projection-based imaging, single-pixel or ghost imaging, etc. The topics covered in this book can provide an elementary introduction to the exciting area of computational imaging for students who may wish to work with imaging systems in their future careers.

ISBN: 9783031183539

Standard No.: 10.1007/978-3-031-18353-9doiSubjects--Topical Terms:

579719
Fourier transform optics.

LC Class. No.: QC454.F7 / K43 2023

Dewey Class. No.: 621.36

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505 0 $a Introduction -- Fourier series and transform -- Sampling Theorem -- Operational introduction to Fast Fourier Transform -- Linear systems formalism and introduction to inverse problems in imaging -- Constrained optimization methods for image recovery -- Random processes -- Geometrical Optics Essentials -- Wave equation and introduction to diffraction of light -- The angular spectrum method.
520 $a The book is designed to serve as a textbook for advanced undergraduate and graduate students enrolled in physics and electronics and communication engineering and mathematics. The book provides an introduction to Fourier optics in light of new developments in the area of computational imaging over the last couple of decades. There is an in-depth discussion of mathematical methods such as Fourier analysis, linear systems theory, random processes, and optimization-based image reconstruction techniques. These techniques are very much essential for a better understanding of the working of computational imaging systems. It discusses topics in Fourier optics, e.g., diffraction phenomena, coherent and incoherent imaging systems, and some aspects of coherence theory. These concepts are then used to describe several system ideas that combine optical hardware design and image reconstruction algorithms, such as digital holography, iterative phase retrieval, super-resolution imaging, point spread function engineering for enhanced depth-of-focus, projection-based imaging, single-pixel or ghost imaging, etc. The topics covered in this book can provide an elementary introduction to the exciting area of computational imaging for students who may wish to work with imaging systems in their future careers.
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