國立高雄大學圖資館 |

Language: English

Back

Fourier optics and computational imaging

Record Type:	Electronic resources : Monograph/item
Title/Author:	Fourier optics and computational imagingby Kedar Khare, Mansi Butola, Sunaina Rajora.
Author:	Khare, Kedar.
other author:	Butola, Mansi.
Published:	Cham :Springer International Publishing :2023.
Description:	xv, 294 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Fourier transform optics.
Online resource:	https://doi.org/10.1007/978-3-031-18353-9
ISBN:	9783031183539$q(electronic bk.)

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$q(electronic bk.)

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

246095
Fourier transform optics.

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

Dewey Class. No.: 621.36

Fourier optics and computational imaging
LDR:02723nmm a2200337 a 4500 001 645265
003 DE-He213
005 20230102172246.0
006 m d
007 cr nn 008mamaa
008 231208s2023 sz s 0 eng d
020 $a 9783031183539$q(electronic bk.)
020 $a 9783031183522$q(paper)
024 7 $a 10.1007/978-3-031-18353-9 $2 doi
035 $a 978-3-031-18353-9
040 $a GP $c GP
041 0 $a eng
050 4 $a QC454.F7 $b K43 2023
072 7 $a TJK $2 bicssc
072 7 $a TEC041000 $2 bisacsh
072 7 $a TJK $2 thema
082 0 4 $a 621.36 $2 23
090 $a QC454.F7 $b K45 2023
100 1 $a Khare, Kedar. $3 954000
245 1 0 $a Fourier optics and computational imaging $h [electronic resource] / $c by Kedar Khare, Mansi Butola, Sunaina Rajora.
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xv, 294 p. : $b ill. (some col.), digital ; $c 24 cm.
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.
650 0 $a Fourier transform optics. $3 246095
650 0 $a Image processing $x Digital techniques $x Mathematics. $3 256957
650 1 4 $a Communications Engineering, Networks. $3 273745
650 2 4 $a Optical Communications. $3 922065
650 2 4 $a Theory of Computation. $3 274475
650 2 4 $a Fourier Analysis. $3 273776
700 1 $a Butola, Mansi. $3 954001
700 1 $a Rajora, Sunaina. $3 954002
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-18353-9
950 $a Engineering (SpringerNature-11647)