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010   $a3-030-12575-0
024 7 $a10.1007/978-3-030-12575-2
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035   $a(MiAaPQ)EBC5718994
035   $a(DE-He213)978-3-030-12575-2
035   $a(PPN)235007307
035   $a(EXLCZ)994100000007702157
100   $a20190222d2019      u|         0
101 0 $aeng
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181   $ctxt$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aHybrid and Advanced Compression Techniques for Medical Images /$fby Rohit M. Thanki, Ashish Kothari
205   $a1st ed. 2019.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2019.
215   $a1 online resource (107 pages)
311   $a3-030-12574-2 
327   $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. .
330   $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.
606   $aBiomedical engineering
606   $aSignal processing
606   $aImage processing
606   $aSpeech processing systems
606   $aRadiology
606   $aOptical data processing
606   $aMedical physics
606   $aRadiation
606   $aBiomedical Engineering and Bioengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T2700X
606   $aSignal, Image and Speech Processing$3https://scigraph.springernature.com/ontologies/product-market-codes/T24051
606   $aBiomedical Engineering/Biotechnology$3https://scigraph.springernature.com/ontologies/product-market-codes/B24000
606   $aImaging / Radiology$3https://scigraph.springernature.com/ontologies/product-market-codes/H29005
606   $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021
606   $aMedical and Radiation Physics$3https://scigraph.springernature.com/ontologies/product-market-codes/P27060
615  0$aBiomedical engineering.
615  0$aSignal processing.
615  0$aImage processing.
615  0$aSpeech processing systems.
615  0$aRadiology.
615  0$aOptical data processing.
615  0$aMedical physics.
615  0$aRadiation.
615 14$aBiomedical Engineering and Bioengineering.
615 24$aSignal, Image and Speech Processing.
615 24$aBiomedical Engineering/Biotechnology.
615 24$aImaging / Radiology.
615 24$aImage Processing and Computer Vision.
615 24$aMedical and Radiation Physics.
676   $a616.0754
676   $a616.0754
700   $aThanki$b Rohit M$4aut$4http://id.loc.gov/vocabulary/relators/aut$0864695
702   $aKothari$b Ashish$4aut$4http://id.loc.gov/vocabulary/relators/aut
906   $aBOOK
912   $a9910337639203321
996   $aHybrid and Advanced Compression Techniques for Medical Images$91930063
997   $aUNINA