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 Wals...

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Bibliographic Details
Main Authors: Dhar, Pranab Kumar (Author), Shimamura, Tetsuya (Author)
Corporate Author: SpringerLink (Online service)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
Subjects:
Signal processing.
Computational linguistics.
Algorithms.
Signal, Speech and Image Processing.
Computational Linguistics.
Online Access:Full-text access
Table of Contents:
  • 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.

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