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SpringerBriefs in Speech Technology

SpringerBriefs in Speech Technology

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SpringerBriefs in Speech Technology

Dhar, Pranab Kumar; Shimamura, Tetsuya

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.



Details

Published by: Springer

Publication Date: 2019-05-06

Format: Paperback

ISBN-13: 9783030157258

DOI: 10.1007/978-3-030-15726-5

Dimensions: 235cm x155cm

Pages: 56

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