Blind SVD-based audio watermarking using entropy and log-polar transformation

@article{Dhar2015BlindSA,
  title={Blind SVD-based audio watermarking using entropy and log-polar transformation},
  author={Pranab Kumar Dhar and Tetsuya Shimamura},
  journal={J. Inf. Sec. Appl.},
  year={2015},
  volume={20},
  pages={74-83}
}
This paper proposes a blind singular value decomposition (SVD) based audio watermarking scheme using entropy and log-polar transformation (LPT) for copyright protection of audio signal. In our proposed scheme, initially the original audio is segmented into nonoverlapping frames and discrete cosine transform (DCT) is applied to each frame. Low frequency DCT coefficients are divided into sub band and entropy of each sub band is calculated. Watermark data is embedded into the Cartesian components… CONTINUE READING
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