Abstract
Noise is often brought to host audio by common signal processing operation, and it usually changes the high-frequency component of an audio signal. So embedding watermark by adjusting low-frequency coefficient can improve the robustness of a watermark scheme. Moving Average sequence is a low-frequency feature of an audio signal. This work proposed a method which embedding watermark into the maximal coefficient in discrete cosine transform domain of a moving average sequence. Subjective and objective tests reveal that the proposed watermarking scheme maintains highly audio quality, and simultaneously, the algorithm is highly robust to common digital signal processing operations, including additive noise, sampling rate change, bit resolution transformation, MP3 compression, and random cropping, especially low-pass filtering.
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Acknowledgments
This work is supported by the National Key Research and Development Project of China (No. 2017YFB0802302), the National Natural Science Foundation of China (No.61572086, No.61402058), the Scientific Research Foundation of CUIT (No. KYTZ201420), and the Scientific Research Project of Department of Education in Sichuan Province (No. 16ZA0221).
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Zhang, J., Peng, X., Zhang, S. (2019). Robust Audio Watermarking Algorithm Based on Moving Average and DCT. In: Sun, X., Pan, Z., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2019. Lecture Notes in Computer Science(), vol 11634. Springer, Cham. https://doi.org/10.1007/978-3-030-24271-8_38
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DOI: https://doi.org/10.1007/978-3-030-24271-8_38
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