Advances in Audio Watermarking Based on Matrix Decomposition

• Main Authors: Dhar, Pranab Kumar (Author, http://id.loc.gov/vocabulary/relators/aut), Shimamura, Tetsuya (http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Edition: 1st ed. 2019.
• Series: SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
• Subjects: Signal processing.; Image processing.; Speech processing systems.; Computational linguistics.; Algorithms.; Signal, Image and Speech Processing.; Computational Linguistics.; Algorithm Analysis and Problem Complexity.

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...

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.