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Borko Furht - Digital Image Processing: Practical Approach

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Borko Furht Digital Image Processing: Practical Approach

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The SpringerBrief covers fundamentals of digital image processing including image concept, image file formats, creating user interfaces and many practical examples of processing images using C++ and Java. These practical examples include among other creating image histograms, performing lossless image compression, detecting change in colors, similarity-based image retrieval and others.
All practical examples are accompanied with an explanation how to create programs and the obtained results. This SpringerBrief can be very useful for the undergraduate courses on image processing, providing students with the basic tools in image analysis and processing. Practitioners and researchers working in this field will also find this research useful.

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SpringerBriefs in Computer Science Series Editors Stan Zdonik Brown - photo 1
SpringerBriefs in Computer Science
Series Editors
Stan Zdonik
Brown University, Providence, Rhode Island, USA
Shashi Shekhar
University of Minnesota, Minneapolis, Minnesota, USA
Xindong Wu
University of Vermont, Burlington, Vermont, USA
Lakhmi C. Jain
University of South Australia, Adelaide, South Australia, Australia
David Padua
University of Illinois Urbana-Champaign, Urbana, Illinois, USA
Xuemin Sherman Shen
University of Waterloo, Waterloo, Ontario, Canada
Borko Furht
Florida Atlantic University, Boca Raton, Florida, USA
V. S. Subrahmanian
University of Maryland, College Park, Maryland, USA
Martial Hebert
Carnegie Mellon University, Pittsburgh, Pennsylvania, USA
Katsushi Ikeuchi
University of Tokyo, Tokyo, Japan
Bruno Siciliano
Universit di Napoli Federico II, Napoli, Italy
Sushil Jajodia
George Mason University, Fairfax, Virginia, USA
Newton Lee
Newton Lee Laboratories, LLC, Burbank, California, USA

SpringerBriefs present concise summaries of cutting-edge research and practical applications across a wide spectrum of fields. Featuring compact volumes of 50 to 125 pages, the series covers a range of content from professional to academic.

Typical topics might include:

  • A timely report of state-of-the art analytical techniques

  • A bridge between new research results, as published in journal articles, and a contextual literature review

  • A snapshot of a hot or emerging topic

  • An in-depth case study or clinical example

  • A presentation of core concepts that students must understand in order to make independent contributions

Briefs allow authors to present their ideas and readers to absorb them with minimal time investment. Briefs will be published as part of Springers eBook collection, with millions of users worldwide. In addition, Briefs will be available for individual print and electronic purchase. Briefs are characterized by fast, global electronic dissemination, standard publishing contracts, easy-to-use manuscript preparation and formatting guidelines, and expedited production schedules. We aim for publication 8-12 weeks after acceptance. Both solicited and unsolicited manuscripts are considered for publication in this series.

More information about this series at http://www.springer.com/series/10028

Borko Furht , Esad Akar and Whitney Angelica Andrews
Digital Image Processing: Practical Approach
Borko Furht Department of Computer Electrical Engineering and Computer - photo 2
Borko Furht
Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA
Esad Akar
Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA
Whitney Angelica Andrews
Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA
ISSN 2191-5768 e-ISSN 2191-5776
SpringerBriefs in Computer Science
ISBN 978-3-319-96633-5 e-ISBN 978-3-319-96634-2
https://doi.org/10.1007/978-3-319-96634-2
Library of Congress Control Number: 2018952345
The Author(s), under exclusive licence to Springer Nature Switzerland AG 2018
This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed.
The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use.
The publisher, the authors, and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

This Springer imprint is published by the registered company Springer Nature Switzerland AG

The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland

Preface

This book is intended for beginners in the field who would like to understand the basic concepts of digital image processing and apply them in programming some fundamental digital image processing algorithms. It is our assumption that the reader has some background in programming including the basics of C and C++. The book is of practical nature, and the fundamental concepts of image processing discussed in each chapter are showcased with demo programs. The reader is encouraged to understand and run these programs as well as create similar programs proposed in the book.

The book consists of ten chapters. The book begins with the introduction to image concept, classification of images, and various image formats. Then, it follows up with Chaps. introduce more complex image processing problems and their solutions including lossless image compression and similarity-based image retrieval.

When completing these chapters and related programming examples, the reader will be able to understand and write some exciting image processing applications. Lastly, Chaps. were completed by students as part of Introduction to Image and Video Processing class at Florida Atlantic University taught in Spring 2018.

The book can be used as a practical textbook for basic courses on image processing. The main features of the book can be summarized as follows:
  1. The book describes the basic concept of digital image processing.

  2. The focus of the book is practical programming examples of fundamental image processing algorithms.

  3. Link to complete programs allows readers to run, test programs, and design various image processing solutions. The libraries used in this book can be found at https://github.com/scarface382/libraries , and source code for all programs described in the book can be found at http://github.com/scarface382/multimedia-examples .

Borko Furht
Esad Akar
Whitney Angelica Andrews
Boca Raton, FL, USA
2018
Contents
The Author(s), under exclusive licence to Springer Nature Switzerland AG 2018
Borko Furht , Esad Akar and Whitney Angelica Andrews Digital Image Processing: Practical Approach SpringerBriefs in Computer Science https://doi.org/10.1007/978-3-319-96634-2_1
1. Introduction to Digital Imaging
Borko Furht
(1)
Department of Computer & Electrical Engineering and Computer Science, Florida Atlantic University, Boca Raton, FL, USA
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