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An adaptive audio watermarking based on the singular value ...
https://www.sciencedirect.com/science/article/pii/S1051200410000448#:~:text=Adaptive%20DWT%20SVD%20audio%20watermarking%20is%20an%20excellent,of%20the%20audio%20signal%20in%20the%20wavelet%20domain.
Audio Watermarking Based on Quantization in Wavelet Domain
https://cse.iitkgp.ac.in/~abhij/publications/ICISS2008.pdf
semi-fragile quantization based audio watermarking scheme in wavelet domain. The watermark is embedded by changing the value of selected coefficients using quantization. This scheme has limited robustness against common signal pro-cessing. A fragile audio watermarking using adaptive wavelet packets based on quantization is reported in [8].
Audio Watermarking Based on Quantization in Wavelet Domain ...
https://link.springer.com/chapter/10.1007/978-3-540-89862-7_20
A robust and oblivious audio watermarking based on quantization of wavelet coefficients is proposed in this paper. Watermark data is embedded by quantizing large wavelet coefficient in absolute value of high frequency detail sub-band at the third level wavelet transform. The watermark can be extracted without using the host signal.
Audio Watermarking Based on Quantization in Wavelet Domain ...
https://dl.acm.org/doi/10.1007/978-3-540-89862-7_20
Home Browse by Title Proceedings ICISS '08 Audio Watermarking Based on Quantization in Wavelet Domain. Article . Free Access. Audio Watermarking Based on Quantization in Wavelet Domain. Share on. Authors: Vivekananda Bhat K. Department of Computer Science and Engineering, Indian Institute of Technology, Kharagpur, India 721 302 ...
Audio watermarking based on quantization in wavelet domain ...
https://manipal.pure.elsevier.com/en/publications/audio-watermarking-based-on-quantization-in-wavelet-domain
A robust and oblivious audio watermarking based on quantization of wavelet coefficients is proposed in this paper. Watermark data is embedded by quantizing large wavelet coefficient in absolute value of high frequency detail sub-band at the third level wavelet transform. The watermark can be extracted without using the host signal.
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