Wavelet-Based Audio Watermarking Using Adaptive Tabu Search

In this paper, we present an algorithm for robust audio watermarking in wavelet transform domain. Using Daubechies wavelet decomposition, we perform watermark embedding to wavelet coefficients of host audio signal. In enhance security, a pseudo-random permutation is performed to disperse the spatial relationship of the binary watermark image. In our watermark embedding algorithm, we search for the optimal intensity of watermark by using the adaptive tabu search (ATS). The watermark detection process can be performed without using the original audio signal. The experimental results demonstrate that watermark is inaudible and robust to many digital signal processing, such as resamplig, cropping, low pass filter, additive noise and lossy compression (MP3).