
Digital Holography and Digital Image Processing
Principles, Methods, Algorithms
Leonid Yaroslavsky(Author)
Kluwer Academic Publishers
Published on 30. November 2003
Book
Hardback
XIV, 584 pages
978-1-4020-7634-3 (ISBN)
Description
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.
More details
Edition
2004
Language
English
Place of publication
New York
United States
Target group
Professional and scholarly
Research
Illustrations
XIV, 584 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 38 mm
Weight
1062 gr
ISBN-13
978-1-4020-7634-3 (9781402076343)
DOI
10.1007/978-1-4757-4988-5
Schweitzer Classification
Other editions
Additional editions

E-Book
03/2013
Springer
€106.99
Available for download

Book
12/2010
Springer
€117.69
Shipment within 15-20 days
Content
1. Introduction.- 2. Optical Signals and Transforms.- 3. Digital Representation of Signals.- 4. Digital Representation of Signal Transformations.- 5. Methods and Algorithms of Digital Filtering.- 6. Fast Algorithms.- 7. Statistical Methods and Algorithms.- 8. Sensor Signal Perfecting, Image Restoration, Reconstruction and Enhancement.- 9. Image Resampling and Geometrical Transformations.- 10. Signal Parameter Estimation and Measurement. Object Localization.- 11. Target Location in Clutter.- 12. Nonlinear Filters in Signal/Image Processing.- 13. Computer Generated Holograms.