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Advances in audio watermarking based...

Dhar, Pranab Kumar.

Advances in audio watermarking based on matrix decomposition

Record Type:	Electronic resources : Monograph/item
Title/Author:	Advances in audio watermarking based on matrix decompositionby Pranab Kumar Dhar, Tetsuya Shimamura.
Author:	Dhar, Pranab Kumar.
other author:	Shimamura, Tetsuya.
Published:	Cham :Springer International Publishing :2019.
Description:	xi, 56 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Digital watermarking.
Online resource:	https://doi.org/10.1007/978-3-030-15726-5
ISBN:	9783030157265$q(electronic bk.)

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

Advances in audio watermarking based on matrix decomposition[electronic resource] /by Pranab Kumar Dhar, Tetsuya Shimamura. - Cham :Springer International Publishing :2019. - xi, 56 p. :ill., digital ;24 cm. - SpringerBriefs in speech technology,2191-737X. - SpringerBriefs in speech technology..

Chapter1: Introduction -- Chapter2: LWT-Based Audio Watermarking Using FWHT and SVD -- Chapter3: Audio Watermarking Based on LWT and QRD -- Chapter4: Audio Watermarking Based on FWHT and LUD -- Chapter5: Audio Watermarking Based on LWT and SD -- Chapter6: Conclusions and Future Work.

This book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1 discusses the application and properties of digital watermarking. Chapter 2 proposes a blind lifting wavelet transform (LWT) based watermarking method using fast Walsh Hadamard transform (FWHT) and singular value decomposition (SVD) for audio copyright protection. Chapter 3 presents a blind audio watermarking method based on LWT and QR decomposition (QRD) for audio copyright protection. Chapter 4 introduces an audio watermarking algorithm based on FWHT and LU decomposition (LUD) Chapter 5 proposes an audio watermarking method based on LWT and Schur decomposition (SD) Chapter 6 explains in details on the challenges and future trends of audio watermarking in various application areas. Introduces audio watermarking methods for copyright protection and ownership protection; Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imperceptibility, robustness, and data payload; Discusses in details on the challenges and future research direction of audio watermarking in various application areas.

ISBN: 9783030157265$q(electronic bk.)

Standard No.: 10.1007/978-3-030-15726-5doiSubjects--Topical Terms:

237825
Digital watermarking.

LC Class. No.: QA76.9.A25 / D437 2019

Dewey Class. No.: 005.8

Advances in audio watermarking based on matrix decomposition
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100 1 $a Dhar, Pranab Kumar. $3 715747
245 1 0 $a Advances in audio watermarking based on matrix decomposition $h [electronic resource] / $c by Pranab Kumar Dhar, Tetsuya Shimamura.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2019.
300 $a xi, 56 p. : $b ill., digital ; $c 24 cm.
490 1 $a SpringerBriefs in speech technology, $x 2191-737X
505 0 $a Chapter1: Introduction -- Chapter2: LWT-Based Audio Watermarking Using FWHT and SVD -- Chapter3: Audio Watermarking Based on LWT and QRD -- Chapter4: Audio Watermarking Based on FWHT and LUD -- Chapter5: Audio Watermarking Based on LWT and SD -- Chapter6: Conclusions and Future Work.
520 $a This book introduces audio watermarking methods in transform domain based on matrix decomposition for copyright protection. Chapter 1 discusses the application and properties of digital watermarking. Chapter 2 proposes a blind lifting wavelet transform (LWT) based watermarking method using fast Walsh Hadamard transform (FWHT) and singular value decomposition (SVD) for audio copyright protection. Chapter 3 presents a blind audio watermarking method based on LWT and QR decomposition (QRD) for audio copyright protection. Chapter 4 introduces an audio watermarking algorithm based on FWHT and LU decomposition (LUD) Chapter 5 proposes an audio watermarking method based on LWT and Schur decomposition (SD) Chapter 6 explains in details on the challenges and future trends of audio watermarking in various application areas. Introduces audio watermarking methods for copyright protection and ownership protection; Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imperceptibility, robustness, and data payload; Discusses in details on the challenges and future research direction of audio watermarking in various application areas.
650 0 $a Digital watermarking. $3 237825
650 0 $a Copyright $x Computer files. $3 715749
650 0 $a Sound $x Recording and reproducing $x Digital techniques. $3 182344
650 1 4 $a Signal, Image and Speech Processing. $3 273768
650 2 4 $a Computational Linguistics. $3 274669
650 2 4 $a Algorithm Analysis and Problem Complexity. $3 273702
700 1 $a Shimamura, Tetsuya. $3 715748
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a SpringerBriefs in speech technology. $3 839092
856 4 0 $u https://doi.org/10.1007/978-3-030-15726-5
950 $a Engineering (Springer-11647)