Iterative informed audio data hiding scheme using optimal filter

Audio watermarking is a method that allows the insertion of an imperceptible mark on an audio data set. Although the watermarking is often used to guarantee copyrights, it can also be used to increase the information transmitted in a communication context. In typical watermarking applications, the audio data set represents the host that supports the embedded information and it is considered as "noise". However, we can use the fact that this signal is not random but completely known at the transmitter to reduce imperceptibility and improve robustness. Based on this idea, we derive a model from a classical data transmission technique and we take advantage of the knowledge of the host information to design an informed embedding scheme. This model has been then improved using an iterative controlling of the transmitted power and optimal filter. This informed embedding scheme allows us to provide a robust data-hiding system for several treatments, and it\´s compared to non informed and matched filter-embedding schemes.