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 $108
Printed Copy: US $78
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

Digital imaging and image processing are among the major components of modern information technologies. Their very fundamental operation is a conversion of analog signals of image sensors into digital signals, i.e., into arrays of numbers that are stored and processed in the memory of digital cameras and computers, transmitted via digital communication channels and used for recreating images in display devices. This conversion is implemented through image sampling, i.e., by taking, in one or another way, signal samples at certain positions throughout the image area.

Optimal design and implementation of image sampling require answering the question:

- What is the minimum sampling rate, i.e., the minimal amount of numbers sufficient for representing images with a given accuracy?

- How can one sample images with sampling rates close to the theoretical minimum?

- Is it possible to implement image resampling without introducing additional distortions due to the resampling?

The book answers these questions. It provides both the most updated formulations of the sampling theory and practical algorithms of image sampling with sampling rates close to the theoretical minimum, as well as introduces interpolation error-free methods of image resampling. In addition, the book presents a number of examples of applications of the described methods. The book is supplemented by a MATLAB© program package for exercising.

CONSENT FOR PUBLICATION

Not applicable.

CONFLICT OF INTEREST

The author declares no conflict of interest regarding the contents of each of the chapters of this book.

Leonid Yaroslavsky
School of Electrical Engineering
Tel Aviv University
Israel

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