Two Techniques for Audio Watermarking Based on a Novel Transformation

The main purpose of this paper is to embed data in the transform domain of audio signals. Data embedding is similar to Quantization Index Modulation (QIM) approach. But the embedding process is performed in a novel transformation named PPG (Point to Point Graph) which converts the audio signal to a set of points in the Cartesian Coordinates. Two watermarking schemes are proposed in this paper. The first approach uses the QIM method on the radius of the PPG points while the second approach employs the logical operand for this aim. Simulation results show that these two methods have great robustness against the common attack (such as White Gaussian noise, echo and filtering). Subjective evaluation confirms transparency of the watermarked audio signals.