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Erschienen in:
2011 | OriginalPaper | Buchkapitel
ICA Based Informed Source Separation for Digitally Watermarked Audio Signals
verfasst von : R. Sharanya, D. Sugumar, T. L. Sujithra, Susan Mary Bose, Divya Mary Koshy
Erschienen in: Information Technology and Mobile Communication
Verlag: Springer Berlin Heidelberg
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This paper presents an efficient, digital audio watermarking method based on one dimensional multilevel discrete wavelet transform(MDWT) and discrete cosine transform (DCT) for the application of copyright protection. The proposed scheme also employs informed source separation for the watermark extracted audio signal based on independent component analysis (ICA).In addition, the performance of the proposed algorithm in terms of Signal to Noise Ratio (SNR), Peak Signal to Noise Ratio (PSNR) and Normalized Root Mean Square Error (NRMSE) are also evaluated. The proposed scheme achieved good robustness against most of the attacks such as requantization, filtering, addition and multiplication of noise. The experimental result shows that the SNR value is about 36.12dB for the proposed algorithm, whereas by using only MDWT technique method gives only 30.2dB.