| Summary: | 碩士 === 大同大學 === 通訊工程研究所 === 96 === According to the development of the Internet, unauthorized copying and distribution of digital data creates a disastrous problem in the protection
of intellectual property rights. The embedding of digital watermark into
multimedia content has been proposed to deal with this problem. In traditional watermarking algorithms, the insertion of watermark into the host signal inevitably introduces perceptible quality degradation and the inherent conflict between imperceptibility and robustness. Zero-watermarking technique was proposed to solve these problems successfully. This scheme extracts some essential characteristics from host signal and uses them for watermark detection instead of embedding watermark into original signal.
In this paper, two cepstrum based zero-watermarking schemes for digital audio are presented. In first method, discrete wavelet transform (DWT) and linear prediction cepstral coefficients (LPCCs) are combined to extract audio features which are used for watermark embedding and recovery. In second method, we use the mel-frequency cepstral coefficients (MFCCs) to extract audio features for watermark embedding and recovery. In actual applications, the secret key which was constructed after the zero-watermarking schemes should be assigned a time stamp by authority authentication department.
Simulation results show that our schemes can get the embedded watermark back after taking several attacks, and experiments show that the recovery performance of high sampling rate audio which used the first method is batter than which used the second method. The Simulation results satisfy the digital watermark technical properties of transparency, robustness, unambiguity, security, and blindness.
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