Sinossi
Watermarking, is the process of embedding data into a multimedia cover, and can be used primarily for copyright protection and other purposes. Schemes that have recently been proposed modify the pixel values or Transform domain coefficients. The Singular Value Decomposition (SVD) is a practical numerical tool with applications in a number of signal processing fields including image compression. In an SVD-based watermarking scheme, the singular values of the cover image are modified to embed the watermark data. This method has been proposed an optimal SVD-based watermarking scheme that embeds the watermark in two steps. In the first step, the cover image is divided into smaller blocks and a piece of the watermark is embedded in each block. In the second step extracting the watermark from the watermarked image. Use of SVD provides robustness. It can be proved by testing it in presence of various noise attacks & general image processing operations.
Le informazioni nella sezione "Riassunto" possono far riferimento a edizioni diverse di questo titolo.
Risultati della ricerca per Use of singular value decomposition for digital image...
Immagini fornite dal venditore
Use of singular value decomposition for digital image watermarking
Editore:
LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6135801341
ISBN 13: 9786135801347
Nuovo
Taschenbuch
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Watermarking, is the process of embedding data into a multimedia cover, and can be used primarily for copyright protection and other purposes. Schemes that have recently been proposed modify the pixel values or Transform domain coefficients. The Singular Value Decomposition (SVD) is a practical numerical tool with applications in a number of signal processing fields including image compression. In an SVD-based watermarking scheme, the singular values of the cover image are modified to embed the watermark data. This method has been proposed an optimal SVD-based watermarking scheme that embeds the watermark in two steps. In the first step, the cover image is divided into smaller blocks and a piece of the watermark is embedded in each block. In the second step extracting the watermark from the watermarked image. Use of SVD provides robustness. It can be proved by testing it in presence of various noise attacks & general image processing operations. 56 pp. Englisch. Codice articolo 9786135801347
Compra nuovo
EUR 35,90
Spedizione EUR 23,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Foto dell'editore
Use of singular value decomposition for digital image watermarking
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6135801341
ISBN 13: 9786135801347
Nuovo
Paperback
Da: Revaluation Books, Exeter, Regno Unito
Valutazione del venditore 5 su 5 stelle
Paperback. Condizione: Brand New. 56 pages. 8.66x5.91x0.13 inches. In Stock. Codice articolo zk6135801341
Compra nuovo
EUR 61,66
Spedizione EUR 11,56
Spedito da Regno Unito a U.S.A.
Spedito da Regno Unito a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Use of singular value decomposition for digital image watermarking
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6135801341
ISBN 13: 9786135801347
Nuovo
Brossura
Da: moluna, Greven, Germania
Valutazione del venditore 5 su 5 stelle
Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Athalye SaurabhSaurabh Athalye is from India. Qualification is M.E.(Electronics). Now he is doing his Phd. Area of interest is Digital Signal Processing. The author has 9 years of teaching experience at undergraduate level.Waterm. Codice articolo 385844281
Compra nuovo
EUR 31,27
Spedizione EUR 48,99
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: Più di 20 disponibili
Immagini fornite dal venditore
Use of singular value decomposition for digital image watermarking
Editore:
LAP LAMBERT Academic Publishing Jan 2018, 2018
ISBN 10: 6135801341
ISBN 13: 9786135801347
Nuovo
Taschenbuch
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Watermarking, is the process of embedding data into a multimedia cover, and can be used primarily for copyright protection and other purposes. Schemes that have recently been proposed modify the pixel values or Transform domain coefficients. The Singular Value Decomposition (SVD) is a practical numerical tool with applications in a number of signal processing fields including image compression. In an SVD-based watermarking scheme, the singular values of the cover image are modified to embed the watermark data. This method has been proposed an optimal SVD-based watermarking scheme that embeds the watermark in two steps. In the first step, the cover image is divided into smaller blocks and a piece of the watermark is embedded in each block. In the second step extracting the watermark from the watermarked image. Use of SVD provides robustness. It can be proved by testing it in presence of various noise attacks & general image processing operations.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 56 pp. Englisch. Codice articolo 9786135801347
Compra nuovo
EUR 35,90
Spedizione EUR 60,00
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili
Immagini fornite dal venditore
Use of singular value decomposition for digital image watermarking
Editore:
LAP LAMBERT Academic Publishing, 2018
ISBN 10: 6135801341
ISBN 13: 9786135801347
Nuovo
Taschenbuch
Da: AHA-BUCH GmbH, Einbeck, Germania
Valutazione del venditore 5 su 5 stelle
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Watermarking, is the process of embedding data into a multimedia cover, and can be used primarily for copyright protection and other purposes. Schemes that have recently been proposed modify the pixel values or Transform domain coefficients. The Singular Value Decomposition (SVD) is a practical numerical tool with applications in a number of signal processing fields including image compression. In an SVD-based watermarking scheme, the singular values of the cover image are modified to embed the watermark data. This method has been proposed an optimal SVD-based watermarking scheme that embeds the watermark in two steps. In the first step, the cover image is divided into smaller blocks and a piece of the watermark is embedded in each block. In the second step extracting the watermark from the watermarked image. Use of SVD provides robustness. It can be proved by testing it in presence of various noise attacks & general image processing operations. Codice articolo 9786135801347
Compra nuovo
EUR 37,20
Spedizione EUR 60,51
Spedito da Germania a U.S.A.
Spedito da Germania a U.S.A.
Quantità: 1 disponibili