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Advances in Audio Watermarking Based on Matrix Decomposition - Pranab Kumar Dhar - Bog

Bag om Advances in Audio Watermarking Based on Matrix Decomposition

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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  • Sprog:
  • Engelsk
  • ISBN:
  • 9783030157258
  • Indbinding:
  • Paperback
  • Sideantal:
  • 56
  • Udgivet:
  • 6. Maj 2019
  • Udgave:
  • 12019
  • Størrelse:
  • 155x235x0 mm.
  • Vægt:
  • 454 g.
  • 2-3 uger.
  • 22. Oktober 2024
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Beskrivelse af Advances in Audio Watermarking Based on Matrix Decomposition

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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