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Advances in audio watermarking based...

Dhar, Pranab Kumar.

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Advances in audio watermarking based on matrix decomposition

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Advances in audio watermarking based on matrix decomposition/ by Pranab Kumar Dhar, Tetsuya Shimamura.
作者:	Dhar, Pranab Kumar.
其他作者:	Shimamura, Tetsuya.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	xi, 56 p. :ill., digital ;24 cm.
內容註:	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.
Contained By:	Springer eBooks
標題:	Digital watermarking. -
電子資源:	https://doi.org/10.1007/978-3-030-15726-5
ISBN:	9783030157265

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

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

629095
Digital watermarking.

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

Dewey Class. No.: 005.8

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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.
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650 0 $a Sound $x Recording and reproducing $x Digital techniques. $3 576951
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650 2 4 $a Algorithm Analysis and Problem Complexity. $3 891007
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