عنوان

Hybrid and advanced compression techniques for medical images /

(Number (ISBN

3030125750

(Number (ISBN

3030125777

(Number (ISBN

9783030125752

(Number (ISBN

9783030125776

Erroneous ISBN

3030125742

Erroneous ISBN

3030125769

Erroneous ISBN

9783030125745

Erroneous ISBN

9783030125769

Title Proper

Hybrid and advanced compression techniques for medical images /

General Material Designation

[Book]

First Statement of Responsibility

Rohit M. Thanki, Ashish Kothari.

Place of Publication, Distribution, etc.

Cham, Switzerland :

Name of Publisher, Distributor, etc.

Springer,

Date of Publication, Distribution, etc.

[2019]

Specific Material Designation and Extent of Item

1 online resource

Text of Note

Includes bibliographical references and index.

Text of Note

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

Text of Note

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)

Text of Note

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

Text of Note

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

Text of Note

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

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Text of Note

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.

Source for Acquisition/Subscription Address

Springer Nature

Stock Number

com.springer.onix.9783030125752

Title

Hybrid and advanced compression techniques for medical images.

International Standard Book Number

9783030125745

Diagnostic imaging.

Image compression.

Diagnostic Imaging.

Diagnostic imaging.

HEALTH & FITNESS-- Diseases-- General.

Image compression.

MEDICAL-- Clinical Medicine.

MEDICAL-- Diseases.

MEDICAL-- Evidence-Based Medicine.

MEDICAL-- Internal Medicine.

HEA-- 039000

MED-- 014000

MED-- 022000

MED-- 045000

MED-- 112000

MQW

MQW

Number

Edition

Class number

Book number

Class number

Thanki, Rohit M.

Kothari, Ashish

Date of Transaction

20200823083002.0

Cataloguing Rules (Descriptive Conventions))

pn

Electronic name

[Book]

Y