Fourier Optics and Computational Imaging [electronic resource] / by Kedar Khare, Mansi Butola, Sunaina Rajora.

Por: Khare, Kedar [author.]Colaborador(es): Butola, Mansi [author.] | Rajora, Sunaina [author.] | SpringerLink (Online service)Tipo de material: TextoTextoEditor: Cham : Springer International Publishing : Imprint: Springer, 2023Edición: 2nd ed. 2023Descripción: XV, 294 p. 121 illus., 59 illus. in color. online resourceTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9783031183539Tema(s): Telecommunication | Optical communications | Computer science | Fourier analysis | Communications Engineering, Networks | Optical Communications | Theory of Computation | Fourier AnalysisFormatos físicos adicionales: Printed edition:: Sin título; Printed edition:: Sin título; Printed edition:: Sin títuloClasificación CDD: 621.382 Clasificación LoC:TK5101-5105.9Recursos en línea: Libro electrónicoTexto
Contenidos:
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. .
En: Springer Nature eBookResumen: 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.
Star ratings
    Valoración media: 0.0 (0 votos)
Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos 1 No para préstamo

Acceso multiusuario

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.

UABC ; Perpetuidad

Con tecnología Koha