Advances in Audio Watermarking Based on Matrix Decomposition
Nonfiction, Science & Nature, Technology, Electronics, Reference & Language, Language Arts, Linguistics
| Author: | Pranab Kumar Dhar, Tetsuya Shimamura | ISBN: | 9783030157265 |
| Publisher: | Springer International Publishing | Publication: | April 23, 2019 |
| Imprint: | Springer | Language: | English |
| Author: | Pranab Kumar Dhar, Tetsuya Shimamura |
| ISBN: | 9783030157265 |
| Publisher: | Springer International Publishing |
| Publication: | April 23, 2019 |
| Imprint: | Springer |
| Language: | English |
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.
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Introduces audio watermarking methods for copyright protection and ownership protection;
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Describes watermarking methods with encryption and decryption that provide excellent performance in terms of imperceptibility, robustness, and data payload;
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Discusses in details on the challenges and future research direction of audio watermarking in various application areas.
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.
