Author: Leonid Yaroslavsky

Series Title: Digital Signal Processing in Experimental Research

How to Optimally Sample and Resample Images: Theory and Methods Using Matlab

Volume 3

eBook: US $59 Special Offer (PDF + Printed Copy): US $100
Printed Copy: US $71
Library License: US $236
ISSN: 2737-4645 (Print)
ISSN: 1879-4432 (Online)
ISBN: 978-981-14-7179-7 (Print)
ISBN: 978-981-14-7181-0 (Online)
Year of Publication: 2020
DOI: 10.2174/97898114718101200301

Introduction

How to Optimally Sample and Resample Images: Theory and Methods Using MATLAB provides updated formulations of image sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, and also introduces interpolation error-free methods of image resampling. Readers will be informed about relevant principles and applications of image sampling with the help of MATLAB©. The information presented in the book, across 9 chapters, will help readers to understand processes that make analog to digital signal conversion efficient for modern imaging devices.

Key Features:

- Introduces readers to classical sampling theorems

- Presents updated information about image sampling and resampling formulations with reference to theoretical minimums

- Presents information on practical and fast sampling algorithms

- Presents information about interpolation error-free methods of image resampling

- Presents examples of applications of the described methods

- Is supplemented by a MATLAB© program package for exercising knowledge.

The book is a suitable handbook for engineers and technicians involved in imaging engineering and related applications as well as engineering students learning about digital signal processing techniques.

Preface

- Pp. i
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Introduction

- Pp. 1-3 (3)
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Summary of the Classic Sampling Theory

- Pp. 4-26 (23)
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Sampling Real Not Band-Limited Signals

- Pp. 27-40 (14)
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The General Sampling Theorem

- Pp. 41-56 (16)
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Compressed Sensing: A Method of Reconstruction of Signals Sampled With Aliasing

- Pp. 57-67 (11)
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How One Can Sample Images with Sampling Rates Close To the Theoretical Minimum

- Pp. 68-98 (31)
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Image Resampling: Preliminaries and Problem Formulation

- Pp. 99-116 (18)
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Image Resampling: Fast Computational Algorithms

- Pp. 117-138 (22)
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Examples of Applications of Signal and Image Resampling Using Discrete Sinc Interpolation

- Pp. 139-170 (32)
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References

- Pp. 171
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Subject Index

- Pp. 172-173 (2)
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