Audio Watermarking an Effective Solution to Hide Secret Data Behind Audio
DOI:
https://doi.org/10.37591/joosd.v2i3.557Keywords:
Digital Audio Watermarking, discrete wavelet transform, singular value decomposition, copyright protectionAbstract
In this paper, we stated the study of audio watermarking done by different methods perfectly. Here, we study how different data can hide behind audio using different strategies. We study different concept of discrete wavelet transform, singular value decomposition, EMD, spread spectrum, discrete cosine transform for the development of audio watermarking. We analyze different methods and noted down different comparison among them.
Cite this Article
Dheber DP, Kamdar DG. Audio Watermarking an Effective Solution to Hide Secret Data Behind Audio. Journal of Open Source Developments. 2015; 2(3): 27–32p.
References
Khaldi K. Audio watermarking via EMD. IEEE Transactions on Audio, Speech, and Language Processing. 2013; 21(3): 675–680p.
Lei BY, Soon Y, Li Z et al. Blind and robust audio watermarking scheme based on SVD–DCT. Signal Processing. 2011; 91(8): 1973–1984p.
Lei et al. A robust audio watermarking scheme based on lifting wavelet transform and singular value decomposition. Signal Processing. 2012; 92(9): 1985–2001p.
Hu et al. Perceptual-based DWPT-DCT framework for selective blind audio watermarking. Signal Processing. 2014; 105: 316–327p.
Kirovski et al. Spread-spectrum watermarking of audio signals. Signal Processing. IEEE Transactions . 2003; 51(4): 1020–1033p.
Nikmehr H, Hashemy ST. A new approach to audio watermarking using discrete wavelet and cosine transforms. In 1st International Conference Communications Engineering.2010; 1–10p.
Hu HT, Hsu LY. Robust, transparent and high-capacity audio watermarking in DCT domain. Signal Processing. 2015; 109: 226–235p.
Khalil M, Adib A. Audio watermarking with high embedding capacity based on multiple access techniques. Digital Signal Processing. 2014; 34: 116–125p.
Dhar PK, Shimamura T. Blind SVD-based audio watermarking using entropy and log-polar transformation. Journal of Information Security and Applications. 2015; 20: 74–83p.
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