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EBOOK
Author Thanki, Rohit M.,
Title Hybrid and advanced compression techniques for medical images / Rohit M. Thanki, Ashish Kothari.
Imprint Cham, Switzerland : Springer, [2019]

LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
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LOCATION CALL # STATUS MESSAGE
 OHIOLINK SPRINGER EBOOKS    ONLINE  
View online
Author Thanki, Rohit M.,
Subject Diagnostic imaging.
Image compression.
Diagnostic Imaging.
Alt Name Kothari, Ashish, 1961-
Description 1 online resource
polychrome rdacc
Bibliography Note Includes bibliographical references and index.
Note Online resource; title from PDF title page (EBSCO, viewed February 26, 2019).
Contents Intro; Preface; Audience; Approach; Content and Organization; Acknowledgments; Contents; List of Tables; List of Figures; About the Authors; Chapter 1: Data Compression and Its Application in Medical Imaging; 1.1 Introduction; 1.2 Data Compression Model; 1.3 Classification of Data Compression Methods; 1.4 Types of Data Compression Methods; 1.4.1 Lossy Compression; 1.4.2 Lossless Compression; 1.5 Medical Imaging Modalities and Its Characteristics; 1.6 Standard for Communication of Medical Imaging Modalities; 1.7 Need and Usage of Compression for Medical Imaging Modalities
1.8 Motivation and Organization of the Book1.9 Summary of the Chapter; References; Chapter 2: Classification in Data Compression; 2.1 Based on the Quality of Data; 2.2 Based on Coding Techniques; 2.3 Based on Types of Data; 2.3.1 Text Compression; 2.3.2 Image Compression; 2.3.3 Audio Compression; 2.3.4 Video Compression; 2.4 Based on Applications; 2.5 Summary of the Chapter; References; Chapter 3: Mathematical Preliminaries; 3.1 Discrete Fourier Transform (DFT); 3.2 Discrete Cosine Transform (DCT); 3.3 Discrete Wavelet Transform (DWT); 3.4 Singular Value Decomposition (SVD)
3.5 Compressive Sensing (CS) Theory3.5.1 CS Acquisition Process; 3.5.2 CS Reconstruction Process; 3.5.3 Important Properties of CS Theory; 3.5.3.1 Sparsity; 3.5.3.2 Incoherent Sampling; 3.5.3.3 Restricted Isometric Property (RIP); 3.5.4 Recovery Algorithms for CS Theory; 3.5.4.1 Orthogonal Matching Pursuit (OMP) Algorithm; 3.6 Performance Criteria for Image Compression; 3.7 Summary of the Chapter; References; Chapter 4: Conventional Compression Techniques for Medical Images; 4.1 The Process of Image Compression; 4.2 Medical Image Compression Technique Using DCT
4.3 Medical Image Compression Technique Using DWT4.4 Medical Image Compression Technique Using SVD; 4.5 Medical Image Compression Technique Using Hybridization of Transforms; 4.5.1 Hybrid Medical Image Compression Using DWT and DCT; 4.5.2 Hybrid Medical Image Compression Using SVD, DWT, and DCT; 4.6 Summary of the Chapter; References; Chapter 5: CS Theory-Based Compression Techniques for Medical Images; 5.1 CS Theory-Based Image Compression; 5.2 CS Theory-Based Medical Image Compression Using DFT; 5.3 CS Theory-Based Medical Image Compression Using DCT
5.4 CS Theory-Based Medical Image Compression Using DWT5.5 CS Theory-Based Medical Image Compression Using Hybridization of DCT and DWT; 5.6 Summary of the Chapter; References; Chapter 6: Color Medical Image Compression Techniques; 6.1 Conventional Image Compression Techniques for Color Medical Images; 6.2 CS Theory-Based Compression Techniques for Color Medical Images; 6.3 Summary of the Chapter; References; Index
Summary 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 image transforms, such as: Discrete Fourier Transform (DFT), Discrete Cosine Transform (DCT), Discrete Wavelet Transform (DWT), and Singular Value Decomposition (SVD) and greedy based recovery algorithm. The authors show how these techniques provide simulation results of various compression techniques for different types of medical images, such as MRI, CT, US, and x-ray images. Future research directions are provided for medical imaging science. The book will be a welcomed reference for engineers, clinicians, and research students working with medical image compression in the biomedical imaging field. Covers various algorithms for data compression and medical image compression; Provides simulation results of compression algorithms for different types of medical images; Provides study of compressive sensing theory for compression of medical images.
ISBN 9783030125752 (electronic bk.)
3030125750 (electronic bk.)
9783030125745
3030125742
9783030125769 (print)
3030125769
ISBN/ISSN 10.1007/978-3-030-12575-2
10.1007/978-3-030-12
OCLC # 1088407371
Additional Format Print version: Thanki, Rohit M. Hybrid and advanced compression techniques for medical images. Cham, Switzerland : Springer, [2019] 3030125742 9783030125745 (OCoLC)1082185485.


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