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Peak Detection based Spread Spectrum Audi Watermarking using Discrete Wavelet Transform
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 24 - Number 1 |
| Year of Publication: 2011 |
| Authors: Neha Baranwal, Kamalika Datta |
10.5120/2916-3842
|
Neha Baranwal, Kamalika Datta . Peak Detection based Spread Spectrum Audi Watermarking using Discrete Wavelet Transform. International Journal of Computer Applications. 24, 1 ( June 2011), 16-20. DOI=10.5120/2916-3842
Abstract
This paper proposes a robust spread spectrum based audio watermarking scheme using Discrete wavelet transform (DWT). Here we use a peak detection algorithm to obtain high robustness. In this watermarking scheme, watermarks are embedded into the peak value of detail coefficients of, transformed audio signal. It is a blind watermarking technique which is used for providing copyright protection and content authentication for digital content. Tests shows that the proposed watermarking scheme is robust against signal processing attacks like resampling, requantization, MP3 compression, noise addition. Performance of this technique is analyzed by calculating the percentage match and SNR values.
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