Advances in Audio Watermarking Based on Matrix Decomposition / by Pranab Kumar Dhar, Tetsuya Shimamura.
By: Dhar, Pranab Kumar, autor
Contributor(s): SpringerLink (Online service)
| Shimamura, Tetsuya., autor
Series: (Engineering (Springer-11647)); (SpringerBriefs in Speech Technology Studies in Speech Signal Processing Natural Language Understanding and Machine Learning, 2191-737X).Publisher: Cham : Imprint: Springer, 2019Description: 1 recurso en línea (XI, 56 páginas) : 25 ilustraciones, 16 ilustraciones a color.ISBN: 9783030157265.Subject: Filigranas digitales
| Item type | Current library | Collection | Call number | Status | Date due | Barcode | Item holds | |
|---|---|---|---|---|---|---|---|---|
LIBRO-E NO PRÉSTAMO
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Madrid Digital Acceso Electrónico (UEM) | Ciencias e Ingeniería | QA76.9.A25 2019 EB (Browse shelf(Opens below)) | Acceso electrónico | eBooks24062587 |
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.
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