Dynamic stochastic resonance-based improved watermark extraction from audio signal

In this paper a dynamic stochastic resonance (DSR)-based watermark extraction technique from audio signal in discrete wavelet transform domain has been presented. The watermark embedding has been done in detail coefficient of DWT transformed audio signal. DSR improves the authenticity of the extraction process by utilizing noise or degradation introduced during different signal processing attacks. DSR is an iterative process that tunes the coefficient of possibly attacked watermarked audio signal so that effect of noise is suppressed and hidden information is enhanced. An adaptive optimization procedure has been adopted for selection of bistable parameters to achieve maximum correlation coefficient under minimum computational complexity. Resilience of this technique has been tested in presence of various signal processing attacks. Using proposed technique robust extraction of watermark is obtained without trading off the audibility of audio signal.