Blind audio watermarking algorithm based on DCT, linear regression and standard deviation

@article{Jeyhoon2016BlindAW,
  title={Blind audio watermarking algorithm based on DCT, linear regression and standard deviation},
  author={Mahdi Jeyhoon and Mohammad Asgari and Lili Ehsan and Seyedeh Zahra Jalilzadeh},
  journal={Multimedia Tools and Applications},
  year={2016},
  volume={76},
  pages={3343-3359}
}
This paper proposes a blind audio watermarking algorithm to embed data and extract them by changing the Discrete Cosine Transform (DCT) coefficients. The key idea is to divide the selected frequency band of DCT into short frames and change the samples of each frame based on the watermark bits that are embedded in. The proposed idea uses linear regression and standard deviation to extract watermark bits. The experimental results show that the method has a high capacity about 3000 bps data… CONTINUE READING
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