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Digital Holography and Digital Image Processing

Principles, Methods, Algorithms

  • Textbook
  • © 2004

Overview

Authors:
  1. Leonid Yaroslavsky

    1. Tel Aviv University, Israel

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  • 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)

  1. Front Matter

    Pages i-xiii
    Download chapter PDF

  2. Introduction

    • Leonid Yaroslavsky
    Pages 1-10

  3. Optical Signals and Transforms

    • Leonid Yaroslavsky
    Pages 11-78

  4. Digital Representation of Signals

    • Leonid Yaroslavsky
    Pages 79-160

  5. Digital Representation of Signal Transformations

    • Leonid Yaroslavsky
    Pages 161-209

  6. Methods of Digital Filtering

    • Leonid Yaroslavsky
    Pages 211-237

  7. Fast Transforms

    • Leonid Yaroslavsky
    Pages 239-274

  8. Statistical Computation Methods and Algorithms

    • Leonid Yaroslavsky
    Pages 275-312

  9. Sensor Signal Perfecting, Image Restoration, Reconstruction and Enhancement

    • Leonid Yaroslavsky
    Pages 313-371

  10. Image Resampling and Geometrical Transformations

    • Leonid Yaroslavsky
    Pages 373-410

  11. Signal Parameter Estimation and Measurement. Object Localization

    • Leonid Yaroslavsky
    Pages 411-459

  12. Target Locating in Clutter

    • Leonid Yaroslavsky
    Pages 461-508

  13. Nonlinear Filters in Image Processing

    • Leonid Yaroslavsky
    Pages 509-540

  14. Computer Generated Holograms

    • Leonid Yaroslavsky
    Pages 541-575

  15. Back Matter

    Pages 577-583
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Keywords

About this book

Digital holography and digital image processing are twins born by computer era. They share origin, theoretical base, methods and algorithms. The present book describes these 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. The book combines theory, heavily illustrated practical methods and efficient computational algorithms and is written for senior-level undergraduate and graduate students, researchers and engineers in optics, photonics, opto-electronics and electronic engineering.

Authors and Affiliations

  • Tel Aviv University, Israel

    Leonid Yaroslavsky

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

  • 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

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