A Robust Watermarking Scheme Based on Audio Features in Multiwavelet Domain

Combined with audio features and the advantage of discrete multiwavelet transform (DMT) in signal processing, a novel audio watermarking scheme is proposed in this paper. Due to the high relevance between adjacent audio frames, the watermark embedding and detection are based on the energy relationship of two consecutive frames in multiwavelet domain. To enhance the robustness and auditory quality, the energy mean and the energy difference in every two consecutive frames are analyzed. The experimental results show that the proposed algorithm could obtain good perceptual quality and robust to common audio data manipulations, such as low pass filtering, resampling, requantizing, MP3 compression, and so on.