000			03171nam a22004335i 4500
710	2		_aSpringerLink (Online service) _9106996
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008			190222s2019 gw a o |||| 0|eng d
020			_a9783030125752
024	7		_a10.1007/978-3-030-12575-2 _2doi
040			_bspa _dES-MaUEC _cES-MaUEC
050		4	_aRC78.7 .D53 _b2019 EB
100	1		_aThanki, Rohit M. _eautor _9670706
245	1	0	_aHybrid and Advanced compression Techniques for Medical Images _cby Rohit M. Thanki, Ashish Kothari
264		1	_aCham _bSpringer International Publishing : _bImprint: Springer _c2019
300			_a1 recurso en línea (XVII, 95 páginas) _b43 ilustraciones, 9 ilustraciones a color
336			_2rdacontent _aTexto _btxt
337			_2rdamedia _aelectrónico _bc
338			_2rdacarrier _arecurso electrónico _bcr
347			_atext file _bPDF
490	0		_aEngineering (Springer-11647)
505	0		_aChapter 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	3		_aThis 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		7	_2embne _aDiagnóstico por imagen _9139972
650		7	_2embne _aRadiología _9139971
650		7	_2embne _9167079 _aSistemas de imágenes en medicina
700	1		_aKothari, Ashish _eautor _9670707
776	0	8	_iPrinted edition: _z9783030125745
776	0	8	_iPrinted edition: _z9783030125769
776	0	8	_iPrinted edition: _z9783030125776
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-12575-2 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
988			_aPrimersemestre_2019_Engineering
998			_aSI _cm _dz _feng _ggw _h0 _b09/2019 _eel _zSI