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Advances in audio watermarking based...

Dhar, Pranab Kumar.

Advances in audio watermarking based on singular value decomposition

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in audio watermarking based on singular value decompositionby Pranab Kumar Dhar, Tetsuya Shimamura.
Author:	Dhar, Pranab Kumar.
other author:	Shimamura, Tetsuya.
Published:	Cham :Springer International Publishing :2015.
Description:	xviii, 58 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Digital watermarking.
Online resource:	http://dx.doi.org/10.1007/978-3-319-14800-7
ISBN:	9783319148007 (electronic bk.)

Advances in audio watermarking based on singular value decomposition
Dhar, Pranab Kumar.

Advances in audio watermarking based on singular value decomposition[electronic resource] /by Pranab Kumar Dhar, Tetsuya Shimamura. - Cham :Springer International Publishing :2015. - xviii, 58 p. :ill., digital ;24 cm. - SpringerBriefs in electrical and computer engineering,2191-8112. - SpringerBriefs in electrical and computer engineering..

Introduction -- Background Information -- DWT-DCT-Based Audio Watermarking Using SVD -- FFT-Based Audio Watermarking Using SVD and CPT -- Conclusions.

This book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data from unauthorized copying. The book is divided into two parts. First, an audio watermarking method in discrete wavelet transform (DWT) and discrete cosine transform (DCT) domains using singular value decomposition (SVD) and quantization is introduced. This method is robust against various attacks and provides good imperceptible watermarked sounds. Then, an audio watermarking method in fast Fourier transform (FFT) domain using SVD and Cartesian-polar transformation (CPT) is presented. This method has high imperceptibility and high data payload and it provides good robustness against various attacks. These techniques allow media owners to protect copyright and to show authenticity and ownership of their material in a variety of applications. Features new methods of audio watermarking for copyright protection and ownership protection. Outlines techniques that provide superior performance in terms of imperceptibility, robustness, and data payload. Includes applications such as data authentication, data indexing, broadcast monitoring, fingerprinting, etc.

ISBN: 9783319148007 (electronic bk.)

Standard No.: 10.1007/978-3-319-14800-7doiSubjects--Topical Terms:

237825
Digital watermarking.

LC Class. No.: QA76.9.A25

Dewey Class. No.: 005.8

Advances in audio watermarking based on singular value decomposition
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245 1 0 $a Advances in audio watermarking based on singular value decomposition $h [electronic resource] / $c by Pranab Kumar Dhar, Tetsuya Shimamura.
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300 $a xviii, 58 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in electrical and computer engineering, $x 2191-8112
505 0 $a Introduction -- Background Information -- DWT-DCT-Based Audio Watermarking Using SVD -- FFT-Based Audio Watermarking Using SVD and CPT -- Conclusions.
520 $a This book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data from unauthorized copying. The book is divided into two parts. First, an audio watermarking method in discrete wavelet transform (DWT) and discrete cosine transform (DCT) domains using singular value decomposition (SVD) and quantization is introduced. This method is robust against various attacks and provides good imperceptible watermarked sounds. Then, an audio watermarking method in fast Fourier transform (FFT) domain using SVD and Cartesian-polar transformation (CPT) is presented. This method has high imperceptibility and high data payload and it provides good robustness against various attacks. These techniques allow media owners to protect copyright and to show authenticity and ownership of their material in a variety of applications. Features new methods of audio watermarking for copyright protection and ownership protection. Outlines techniques that provide superior performance in terms of imperceptibility, robustness, and data payload. Includes applications such as data authentication, data indexing, broadcast monitoring, fingerprinting, etc.
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650 1 4 $a Engineering. $3 210888
650 2 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Computational Linguistics. $3 274669
650 2 4 $a Data Encryption. $3 273765
700 1 $a Shimamura, Tetsuya. $3 715748
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