Robust and Transparent Audio Watermarking based on Spread Spectrum in Wavelet Domain

This paper proposes a robust and blind audio watermarking scheme based on spread spectrum in Discrete Wavelet Transform (DWT) domain. For this purpose, the watermarks are embedded in low-frequency coefficients, which are less audible. The main aim is to divide the audio signal into small frames and modify the magnitude of the 6
^th
level approximation coefficients of DWT using the direct sequence spread spectrum (DSSS) technique. In addition, psychoacoustic model is used for enhancing in imperceptibility, and Savitsky-Golay filter is employed for increasing the extraction accuracy. The experimental results confirm high robustness against the most common attacks, including, re-sampling, requantizing, Gaussian noise addition MP3 compression, and low pass filter without significant perceptual distortion (ODG is higher than-1). The proposed scheme's data payload is about 83 bps.