Hybrid and Advanced compression Techniques for Medical Images / by Rohit M. Thanki, Ashish Kothari
By: Thanki, Rohit M., autor
Contributor(s): SpringerLink (Online service) | Kothari, Ashish, autor
Series: (Engineering (Springer-11647)).Publisher: Cham : Springer International Publishing : Imprint: Springer, 2019Description: 1 recurso en línea (XVII, 95 páginas) : 43 ilustraciones, 9 ilustraciones a color.ISBN: 9783030125752.Subject: Diagnóstico por imagen | Radiología | Sistemas de imágenes en medicinaOnline resources: Acceso a este recurso digital (usuarios Universidad Europea de Madrid)
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
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LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | RC78.7 .D53 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks24062506 |
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| RC78.7.D53 2018 EB Quality and Safety in Imaging | RC78.7.D53 2019 EB Computer Aided Intervention and Diagnostics in Clinical and Medical Images | RC78.7 .D53 2019 EB ICTMI 2017 : Proceedings of the International Conference on Translational Medicine and Imaging | RC78.7 .D53 2019 EB Hybrid and Advanced compression Techniques for Medical Images | RC78.7.D53 2019 EB Artificial Intelligence in Medical Imaging : Opportunities, Applications and Risks | RC78.7 .D53 2019 EB Image Fusion in Preclinical Applications | RC78.7.D53 2019 EB VipIMAGE 2019 : Proceedings of the VII ECCOMAS Thematic Conference on Computational Vision and Medical Image Processing, October 16-18, 2019, Porto, Portugal |
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.
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