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Hybrid and advanced compression tech...

Thanki, Rohit M.

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Hybrid and advanced compression techniques for medical images

Record Type:	Electronic resources : Monograph/item
Title/Author:	Hybrid and advanced compression techniques for medical images/ by Rohit M. Thanki, Ashish Kothari.
Author:	Thanki, Rohit M.
other author:	Kothari, Ashish.
Published:	Cham :Springer International Publishing : : 2019.,
Description:	xvii, 95 p. :ill., digital ;24 cm.
[NT 15003449]:	Chapter 1. Data Compression and its Application in Medical Imaging -- Chapter 2. Classification in Data Compression -- Chapter 3.Mathematical Preliminaries -- Chapter 4.Conventional Compression Techniques for Medical Images -- Chapter 5. CS Theory based Compression Techniques for Medical Images -- Chapter 6. Color Medical Image Compression Techniques.
Contained By:	Springer eBooks
Subject:	Diagnostic imaging. -
Online resource:	https://doi.org/10.1007/978-3-030-12575-2
ISBN:	9783030125752

Hybrid and advanced compression techniques for medical images
Thanki, Rohit M.

Hybrid and advanced compression techniques for medical images[electronic resource] /by Rohit M. Thanki, Ashish Kothari. - Cham :Springer International Publishing :2019. - xvii, 95 p. :ill., digital ;24 cm.

Chapter 1. Data Compression and its Application in Medical Imaging -- Chapter 2. Classification in Data Compression -- Chapter 3.Mathematical Preliminaries -- Chapter 4.Conventional Compression Techniques for Medical Images -- Chapter 5. CS Theory based Compression Techniques for Medical Images -- Chapter 6. Color Medical Image Compression Techniques.

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

Standard No.: 10.1007/978-3-030-12575-2doiSubjects--Topical Terms:

658032
Diagnostic imaging.

LC Class. No.: RC78.7.D53 / T436 2019

Dewey Class. No.: 616.0754

Hybrid and advanced compression techniques for medical images
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100 1 $a Thanki, Rohit M. $3 3300854
245 1 0 $a Hybrid and advanced compression techniques for medical images $h [electronic resource] / $c by Rohit M. Thanki, Ashish Kothari.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xvii, 95 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1. Data Compression and its Application in Medical Imaging -- Chapter 2. Classification in Data Compression -- Chapter 3.Mathematical Preliminaries -- Chapter 4.Conventional Compression Techniques for Medical Images -- Chapter 5. CS Theory based Compression Techniques for Medical Images -- Chapter 6. Color Medical Image Compression Techniques.
520 $a 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.
650 0 $a Diagnostic imaging. $3 658032
650 1 4 $a Biomedical Engineering and Bioengineering. $3 3381533
650 2 4 $a Signal, Image and Speech Processing. $3 891073
650 2 4 $a Biomedical Engineering/Biotechnology. $3 2162071
650 2 4 $a Imaging / Radiology. $3 891022
650 2 4 $a Image Processing and Computer Vision. $3 891070
650 2 4 $a Medical and Radiation Physics. $3 1532864
700 1 $a Kothari, Ashish. $3 3385484
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-3-030-12575-2
950 $a Engineering (Springer-11647)