Abstract
Various digital watermarking methods have recently been developed. Among them, the frequency component is often used in watermark embedding. The discrete wavelet transform is a general frequency conversion technique that has been adopted in some watermarking methods. We found that different wavelet filters provide different watermarking performances based on the wavelet transform. In recent years, the Information Hiding and its Criteria for evaluation (IHC) Committee of Japan has developed evaluation criteria for information hiding. In this study, we developed a new audio watermarking method that satisfies the IHC evaluation criteria.
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Ito, T., Kang, H., Iwamura, K., Kaneda, K., Echizen, I. (2016). Audio Watermarking Using Different Wavelet Filters. In: Shi, YQ., Kim, H., Pérez-González, F., Echizen, I. (eds) Digital-Forensics and Watermarking. IWDW 2015. Lecture Notes in Computer Science(), vol 9569. Springer, Cham. https://doi.org/10.1007/978-3-319-31960-5_26
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DOI: https://doi.org/10.1007/978-3-319-31960-5_26
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