An imperceptible, robust, and high payload capacity audio watermarking scheme based on the DCT transformation and Schur decomposition
Author:
Publisher
Springer Science and Business Media LLC
Subject
Surfaces, Coatings and Films,Hardware and Architecture,Signal Processing
Link
http://link.springer.com/content/pdf/10.1007/s10470-018-1332-0.pdf
Reference56 articles.
1. Hu, H. T., Hsu, L. Y., & Chou, H. H. (2014). Perceptual-based DWPT–DCT framework for selective blind audio watermarking. Signal Processing, 105, 316–627. https://doi.org/10.1016/j.sigpro.2014.05.003 .
2. Peng, H., Li, B., Luo, X., Wang, J., & Zhang, Z. (2013). A learning-based audio watermarking scheme using kernel Fisher discriminant analysis. Digital Signal Processing, 23(1), 382–389. https://doi.org/10.1016/j.dsp.2012.08.006 .
3. Hu, H. T., & Hsu, L. Y. (2015). Robust, transparent and high-capacity audio watermarking in DCT domain. Signal Processing, 109, 226–235. https://doi.org/10.1016/j.sigpro.2014.11.011 .
4. Liu, J., & She, K. (2012). A hybrid approach of DWT and DCT for rational dither modulation watermarking. Circuits Systems and Signal Processing, 31(2), 797–811. https://doi.org/10.1007/s00034-011-9331-8 .
5. Tsai, H.-H., Cheng, J.-S., & Yu, P.-T. (2003). Audio watermarking based on HAS and neural networks in DCT domain. EURASIP Journal on Advances in Signal Processing, 2003(3), 252–263. https://doi.org/10.1155/S1110865703208027 .
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