As the availability of lots of editing software, people can manipulate the images/data more conveniently. With this, Digital Watermarking has evolved as a technique and a tool to overcome shortcomings of current copyright laws for digital data. The focus of this research is on medical image watermarking, which has become an important issue in medical image security, confidentiality and integrity. In the present work, a method is proposed to embed two pieces of information: a binary mark (used for quality assessment) and Electronic Patient Record. The binary mark is used as a No-Reference (NR) quality metrics that blindly estimates the quality of an image without the need of original image. In the proposed work an attempt is also made to create space for embedding patient record along with the binary mark. The EPR is recovered exactly when the image is stored at JPEG quality 30 or more.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
As the availability of lots of editing software, people can manipulate the images/data more conveniently. With this, Digital Watermarking has evolved as a technique and a tool to overcome shortcomings of current copyright laws for digital data. The focus of this research is on medical image watermarking, which has become an important issue in medical image security, confidentiality and integrity. In the present work, a method is proposed to embed two pieces of information: a binary mark (used for quality assessment) and Electronic Patient Record. The binary mark is used as a No-Reference (NR) quality metrics that blindly estimates the quality of an image without the need of original image. In the proposed work an attempt is also made to create space for embedding patient record along with the binary mark. The EPR is recovered exactly when the image is stored at JPEG quality 30 or more.
Rupinder Kaur has been working as Assistant Professor in Information Technology Department at GNDEC, Ludhiana. She is a Gold Medalist in Bachelors and Masters degree.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -As the availability of lots of editing software, people can manipulate the images/data more conveniently. With this, Digital Watermarking has evolved as a technique and a tool to overcome shortcomings of current copyright laws for digital data. The focus of this research is on medical image watermarking, which has become an important issue in medical image security, confidentiality and integrity. In the present work, a method is proposed to embed two pieces of information: a binary mark (used for quality assessment) and Electronic Patient Record. The binary mark is used as a No-Reference (NR) quality metrics that blindly estimates the quality of an image without the need of original image. In the proposed work an attempt is also made to create space for embedding patient record along with the binary mark. The EPR is recovered exactly when the image is stored at JPEG quality 30 or more. 80 pp. Englisch. N° de réf. du vendeur 9783330349902
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Paperback. Etat : Brand New. 80 pages. 8.66x5.91x0.19 inches. In Stock. N° de réf. du vendeur 3330349905
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Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Kaur RupinderRupinder Kaur has been working as Assistant Professor in Information Technology Department at GNDEC, Ludhiana. She is a Gold Medalist in Bachelors and Masters degree.As the availability of lots of editing software, . N° de réf. du vendeur 157321708
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Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -As the availability of lots of editing software, people can manipulate the images/data more conveniently. With this, Digital Watermarking has evolved as a technique and a tool to overcome shortcomings of current copyright laws for digital data. The focus of this research is on medical image watermarking, which has become an important issue in medical image security, confidentiality and integrity. In the present work, a method is proposed to embed two pieces of information: a binary mark (used for quality assessment) and Electronic Patient Record. The binary mark is used as a No-Reference (NR) quality metrics that blindly estimates the quality of an image without the need of original image. In the proposed work an attempt is also made to create space for embedding patient record along with the binary mark. The EPR is recovered exactly when the image is stored at JPEG quality 30 or more.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 80 pp. Englisch. N° de réf. du vendeur 9783330349902
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As the availability of lots of editing software, people can manipulate the images/data more conveniently. With this, Digital Watermarking has evolved as a technique and a tool to overcome shortcomings of current copyright laws for digital data. The focus of this research is on medical image watermarking, which has become an important issue in medical image security, confidentiality and integrity. In the present work, a method is proposed to embed two pieces of information: a binary mark (used for quality assessment) and Electronic Patient Record. The binary mark is used as a No-Reference (NR) quality metrics that blindly estimates the quality of an image without the need of original image. In the proposed work an attempt is also made to create space for embedding patient record along with the binary mark. The EPR is recovered exactly when the image is stored at JPEG quality 30 or more. N° de réf. du vendeur 9783330349902
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. A Medical Image Watermarking Technique for Embedding EPR | Rupinder Kaur | Taschenbuch | 80 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330349902 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 109539015
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