Over the years and of recent Journal report 2019, 13,020,821 data breaches of patient related information in the United States was reported. The advancement of multimedia technology via the internet has also created serious challenges of protecting electronic patient records. Among these there are obvious inconsistencies regarding the security and open systems that has been in computer science for years now. Hence this became very clear for research. There were very little or inadequate considerations of issues such as protecting the integrity of the content beyond simple methodological issues that Cloud not address concerns such as data confidentiality and copyright or privacy. Essentially, this book covers thorough literature search of existing watermarking techniques. We presents two combined watermarking algorithms namely: hybrid Algorithm-I and genetic programming (GP)- Algorithm-II. Design Science (DS) methodology was found adequate to carry out the research and implementation. Both algorithms were experimented with 512X512 and 256X256 medical images and other standard images such as Lena, Barbara, Baboon, Brain and so on against state-of-the-art watermarking techniques.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Over the years and of recent Journal report 2019, 13,020,821 data breaches of patient related information in the United States was reported. The advancement of multimedia technology via the internet has also created serious challenges of protecting electronic patient records. Among these there are obvious inconsistencies regarding the security and open systems that has been in computer science for years now. Hence this became very clear for research. There were very little or inadequate considerations of issues such as protecting the integrity of the content beyond simple methodological issues that Cloud not address concerns such as data confidentiality and copyright or privacy. Essentially, this book covers thorough literature search of existing watermarking techniques. We presents two combined watermarking algorithms namely: hybrid Algorithm-I and genetic programming (GP)- Algorithm-II. Design Science (DS) methodology was found adequate to carry out the research and implementation. Both algorithms were experimented with 512X512 and 256X256 medical images and other standard images such as Lena, Barbara, Baboon, Brain and so on against state-of-the-art watermarking techniques. 184 pp. Englisch. Codice articolo 9786202671859
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Da: moluna, Greven, Germania
Kartoniert / Broschiert. Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Fofanah Abdul JosephThe author professional career started as a mathematics teacher in high-school. He have attained a Higher Teachers Certificate in mathematics & computing, B.Sc. (Hons.) in Computer Science, M.Sc. in Computer Scien. Codice articolo 387859559
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Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Over the years and of recent Journal report 2019, 13,020,821 data breaches of patient related information in the United States was reported. The advancement of multimedia technology via the internet has also created serious challenges of protecting electronic patient records. Among these there are obvious inconsistencies regarding the security and open systems that has been in computer science for years now. Hence this became very clear for research. There were very little or inadequate considerations of issues such as protecting the integrity of the content beyond simple methodological issues that Cloud not address concerns such as data confidentiality and copyright or privacy. Essentially, this book covers thorough literature search of existing watermarking techniques. We presents two combined watermarking algorithms namely: hybrid Algorithm-I and genetic programming (GP)- Algorithm-II. Design Science (DS) methodology was found adequate to carry out the research and implementation. Both algorithms were experimented with 512X512 and 256X256 medical images and other standard images such as Lena, Barbara, Baboon, Brain and so on against state-of-the-art watermarking techniques. Codice articolo 9786202671859
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Da: Books Puddle, Woodside, NY, U.S.A.
Condizione: New. Codice articolo 26400941786
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Da: Majestic Books, Hounslow, Regno Unito
Condizione: New. Print on Demand. Codice articolo 395468037
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Da: Biblios, Frankfurt am main, HESSE, Germania
Condizione: New. PRINT ON DEMAND. Codice articolo 18400941776
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Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. Watermarking Technology using Frequency Domain & Genetic Programming | [Based on Cloud Computing and Watermarking Algorithms Research Perspective] | Abdul Joseph Fofanah | Taschenbuch | 184 S. | Englisch | 2020 | LAP LAMBERT Academic Publishing | EAN 9786202671859 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Codice articolo 118772010
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Over the years and of recent Journal report 2019, 13,020,821 data breaches of patient related information in the United States was reported. The advancement of multimedia technology via the internet has also created serious challenges of protecting electronic patient records. Among these there are obvious inconsistencies regarding the security and open systems that has been in computer science for years now. Hence this became very clear for research. There were very little or inadequate considerations of issues such as protecting the integrity of the content beyond simple methodological issues that Cloud not address concerns such as data confidentiality and copyright or privacy. Essentially, this book covers thorough literature search of existing watermarking techniques. We presents two combined watermarking algorithms namely: hybrid Algorithm-I and genetic programming (GP)- Algorithm-II. Design Science (DS) methodology was found adequate to carry out the research and implementation. Both algorithms were experimented with 512X512 and 256X256 medical images and other standard images such as Lena, Barbara, Baboon, Brain and so on against state-of-the-art watermarking techniques.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. Codice articolo 9786202671859
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