Use of singular value decomposition for digital image watermarking - Couverture souple

Athalye, Saurabh; Athalye, Sprooha; Athalye, Siddhi

 
9786135801347: Use of singular value decomposition for digital image watermarking
Couverture souple
ISBN 10 : 6135801341 ISBN 13 : 9786135801347
Editeur : LAP LAMBERT Academic Publishing, 2018

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

Saurabh 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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2018
Langue
anglais
ISBN 10 
6135801341
ISBN 13 
9786135801347
Reliure
Broché
Nombre de pages
56
Coordonnées du fabricant
non disponible
Personne responsable
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