The application of binary image in digital audio watermarking

In this paper, we propose apply a visually recognizable binary image as watermarking embedding audio signals cepstrum domain. Cepstrum representation of audio can be shown to be very robust to a wide range of attacks including most challenging time-scaling and pitch-shifting warping. An intuitive psychoacoustic model is employed to control the audibility of introduced distortion. The results have shown the watermark imperceptible and robust against some signal processing, and our method succeeded in detection the embedded binary image. Extensive experimental results prove that the proposed method robustness to against the data compression and some kinds of synchronization attacks such as MP3, Gaussian white noise, filter and so on.