An audio watermarking method based on molecular matching pursuit

In this paper we introduce a new watermarking model combining a joint time frequency (TF) representation using the molecular matching pursuit (MMP) algorithm and a psychoacoustic model. We take advantage of the notion of structure of the signal introduced by the MMP to get a precise representation of audio signals, and then by using a psychoacoustic model we can embed a watermark efficiently on the signal. By selecting atoms of TF components that are not perceptible by the human ear we ensure the security and imperceptibility of the watermark. Then by judicious selection of the watermark host spots we ensure the robustness of the watermark to main kind of signal attacks, including lossy compression. The robustness of the proposed method proves the potential of joint TF representation techniques as viable watermarking schemes.