Digital Holography and Digital Image Processing: Principles, Methods, Algorithms

by Leonid Yaroslavsky

Overview

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.

Product Details

ISBN-13:	9781402076343
Publisher:	Springer US
Publication date:	11/30/2003
Edition description:	2004
Pages:	584
Product dimensions:	6.10(w) x 9.25(h) x 0.05(d)

Table of Contents

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.