Medical imaging has started to take advantage of digital technology, opening the way for advanced medical imaging and teleradiology. Medical images, however, require large amounts of memory. At over 1 million bytes per image, a typical hospital needs a staggering amount of memory storage of over one trillion bytes per year and transmitting an image over a network, even the promised superhighway could take minutes which is too slow for interactive teleradiology. This calls for image compression to reduce significantly the amount of data needed to represent an image. To meet this challenge, we developed a hybrid compression scheme that provides almost lossless compression with easily hardware realizable due to its simplicity having the better results of PSNR, MSE, and COC.
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Dr. Robinson Paul is a dedicated Electronics Engineering Faculty with 15+ years of experience. Passionate educator in Signal Processing, VLSI - RTL Design, and Machine Learning. Committed to student success with 1000+ guided to excellence. A prolific researcher with numerous publications, adept at securing funding from prestigious organizations.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Medical imaging has started to take advantage of digital technology, opening the way for advanced medical imaging and teleradiology. Medical images, however, require large amounts of memory. At over 1 million bytes per image, a typical hospital needs a staggering amount of memory storage of over one trillion bytes per year and transmitting an image over a network, even the promised superhighway could take minutes which is too slow for interactive teleradiology. This calls for image compression to reduce significantly the amount of data needed to represent an image. To meet this challenge, we developed a hybrid compression scheme that provides almost lossless compression with easily hardware realizable due to its simplicity having the better results of PSNR, MSE, and COC. 96 pp. Englisch. Bestandsnummer des Verkäufers 9786204955131
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Medical imaging has started to take advantage of digital technology, opening the way for advanced medical imaging and teleradiology. Medical images, however, require large amounts of memory. At over 1 million bytes per image, a typical hospital needs a stag. Bestandsnummer des Verkäufers 636174343
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Medical imaging has started to take advantage of digital technology, opening the way for advanced medical imaging and teleradiology. Medical images, however, require large amounts of memory. At over 1 million bytes per image, a typical hospital needs a staggering amount of memory storage of over one trillion bytes per year and transmitting an image over a network, even the promised superhighway could take minutes which is too slow for interactive teleradiology. This calls for image compression to reduce significantly the amount of data needed to represent an image. To meet this challenge, we developed a hybrid compression scheme that provides almost lossless compression with easily hardware realizable due to its simplicity having the better results of PSNR, MSE, and COC.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 96 pp. Englisch. Bestandsnummer des Verkäufers 9786204955131
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Medical imaging has started to take advantage of digital technology, opening the way for advanced medical imaging and teleradiology. Medical images, however, require large amounts of memory. At over 1 million bytes per image, a typical hospital needs a staggering amount of memory storage of over one trillion bytes per year and transmitting an image over a network, even the promised superhighway could take minutes which is too slow for interactive teleradiology. This calls for image compression to reduce significantly the amount of data needed to represent an image. To meet this challenge, we developed a hybrid compression scheme that provides almost lossless compression with easily hardware realizable due to its simplicity having the better results of PSNR, MSE, and COC. Bestandsnummer des Verkäufers 9786204955131
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Taschenbuch. Zustand: Neu. Novel Algorithm for Medical Image Compression | The way for advanced medical imaging | Robinson Paul (u. a.) | Taschenbuch | Englisch | 2022 | LAP LAMBERT Academic Publishing | EAN 9786204955131 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 122043412
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