Hybrid and Advanced Compression Techniques for Medical Images
This book introduces advanced and hybrid compression techniques specifically used for medical images. The book discusses conventional compression and compressive sensing (CS) theory based approaches that are designed and implemented using various ima
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rid and Advanced Compression Techniques for Medical Images
Hybrid and Advanced Compression Techniques for Medical Images
Rohit M. Thanki • Ashish Kothari
Hybrid and Advanced Compression Techniques for Medical Images
Rohit M. Thanki Faculty of Technology and Engineering C. U. Shah University Wadhwan City, Gujarat, India
Ashish Kothari Atmiya University Rajkot, Gujarat, India
ISBN 978-3-030-12574-5 ISBN 978-3-030-12575-2 (eBook) https://doi.org/10.1007/978-3-030-12575-2 Library of Congress Control Number: 2019931383 © Springer Nature Switzerland AG 2019 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
In recent years, the use of image compression has become necessary in medical imaging science due to the number of images stored in the systems of large hospital and health centers for better diagnosis and better health-related solution. This incorporation of compression into more and more medical images is required to solve problems related to the storage of medical images. In this book, we discuss various advanced and hybrid compression techniques and standards for medical images, and have included information on new compression techniques such as compressive sensing (CS)-based and hybrid compression using various image transforms.
Audience When we started working on compressive sensing (CS) theory, we felt there was a research gap in how medical images are simultaneously compressed and acquired. Many researchers, doctors, and signal processing engineers have been confronted with problems in medical image compression that need to be solved. We have made every effort to incorporate interesting studies on medical image compression in the book, but have not covered all aspects
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