Audio Zero-Watermark Scheme Based on Discrete Cosine Transform-Discrete Wavelet Transform-Singular Value Decomposition

Traditional watermark embedding schemes inevitably modify the data in a host audio signal and lead to the degradation of the host signal.In this paper, a novel audio zero-watermarking algorithm based on discrete wavelet transform(DWT),discrete cosine transform(DCT),and singular value decomposition(SVD) is presented. The watermark is registered by performing SVD on the coefficients generated through DWT and DCT to avoid data modification and host signal degradation. Simulation results show that the proposed zero-watermarking algorithm is strongly robust to common signal processing methods such as requantization, MP3 compression, resampling, addition of white Gaussian noise, and low-pass filtering.