Paper Info
Title
Audio Watermarking Based On Inverse Difference Decomposition
Abstract
A new approach for audio watermarking in the phase-frequency domain is presented, based on the inverse Difference Decomposition (IDD) with Complex Hadamard Transform (CHT). The main advantages of the method, compared with others based on the discrete Fourier and wavelet transforms, are the absence of quantization noise, the lower computational complexity and the ability for the owner of the audio contents and authorized distributors to insert different watermarks in the protected audio signal. Additionally, there is watermark transparency, high resistance against fraud and "pirate" attacks, and the capability for exact watermark extraction without using the original audio signal.
Year
DOI
Venue
2004
10.1109/IRI.2004.1431457
PROCEEDINGS OF THE 2004 IEEE INTERNATIONAL CONFERENCE ON INFORMATION REUSE AND INTEGRATION (IRI-2004)
Keywords
Field
DocType
digital audio watermarking, Inverse Difference Pyramid Decomposition, Complex Hadamard Transform
Data mining,Audio signal,Digital watermarking,Harmonic wavelet transform,Computer science,Watermark,Artificial intelligence,Discrete wavelet transform,Wavelet,Pattern recognition,Speech recognition,Discrete Fourier transform,Hadamard transform
Conference
Citations 
PageRank 
References 
0
0.34
6
Authors
5
Name
Order
Citations
PageRank
Roumen K. Kountchev14612.62
Mariofanna G. Milanova215520.19
Charles Wesley Ford342.87
Stuart Harvey Rubin47320.96
Roumiana Kountcheva5118.05