Description
Springer Advances in Audio Watermarking Based on Singular Value Decomposition by Pranab Kumar Dhar, Tetsuya Shimamura
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. _x000D__x000D__x000D__x000D_* Features new methods of audio watermarking for copyright protection and ownership protection_x000D__x000D_* Outlines techniques that provide superior performance in terms of imperceptibility, robustness, and data payload_x000D__x000D_* Includes applications such as data authentication, data indexing, broadcast monitoring, fingerprinting, etc._x000D_ Table of contents :- _x000D_
Introduction.- Background Information.- DWT-DCT-Based Audio Watermarking Using SVD.- FFT-Based Audio Watermarking Using SVD and CPT.- Conclusion._x000D_