Advances in Audio Watermarking Based on Singular Value Decomposition

✍ Scribed by Pranab Kumar Dhar, Tetsuya Shimamura (auth.)

• Publisher: Springer International Publishing
• Year: 2015
• Tongue: English
• Leaves: 75
• Series: SpringerBriefs in Electrical and Computer Engineering
• Edition: 1
• Category: Library

✦ Synopsis

This book introduces audio watermarking methods for copyright protection, which has drawn extensive attention for securing digital data from unauthorized copying. The book is divided into two parts. First, an audio watermarking method in discrete wavelet transform (DWT) and discrete cosine transform (DCT) domains using singular value decomposition (SVD) and quantization is introduced. This method is robust against various attacks and provides good imperceptible watermarked sounds. Then, an audio watermarking method in fast Fourier transform (FFT) domain using SVD and Cartesian-polar transformation (CPT) is presented. This method has high imperceptibility and high data payload and it provides good robustness against various attacks. These techniques allow media owners to protect copyright and to show authenticity and ownership of their material in a variety of applications.

· Features new methods of audio watermarking for copyright protection and ownership protection

· Outlines techniques that provide superior performance in terms of imperceptibility, robustness, and data payload

· Includes applications such as data authentication, data indexing, broadcast monitoring, fingerprinting, etc.

✦ Table of Contents

Front Matter....Pages i-xviii
Introduction....Pages 1-9
Background Information....Pages 11-16
DWT-DCT-Based Audio Watermarking Using SVD....Pages 17-35
FFT-Based Audio Watermarking Using SVD and CPT....Pages 37-52
Conclusions....Pages 53-54
Back Matter....Pages 55-58

✦ Subjects

Signal, Image and Speech Processing; Computational Linguistics; Data Encryption