Overview
Describes the common fundamentals principles, methods and algorithms including image and hologram digitization, data compression, digital transforms and efficient computational algorithms, statistical and Monte-Carlo methods, image restoration and enhancement, image reconstruction in tomography and digital holography, discrete signal resampling and image geometrical transformations, accurate measurements and reliable target localization in images, recording and reconstruction of computer generated holograms, adaptive and nonlinear filters for sensor signal perfecting and image restoration and enhancement
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Table of contents (13 chapters)
Keywords
About this book
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Bibliographic Information
Book Title: Digital Holography and Digital Image Processing
Book Subtitle: Principles, Methods, Algorithms
Authors: Leonid Yaroslavsky
DOI: https://doi.org/10.1007/978-1-4757-4988-5
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 2004
Hardcover ISBN: 978-1-4020-7634-3Published: 30 November 2003
Softcover ISBN: 978-1-4419-5397-1Published: 07 December 2010
eBook ISBN: 978-1-4757-4988-5Published: 14 March 2013
Edition Number: 1
Number of Pages: XIV, 584
Topics: Image Processing and Computer Vision, Optics, Lasers, Photonics, Optical Devices