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A topography structure used in audio steganography

There are inter-frame and inter-element correlations in audio signal which we called correlated topography structure in this paper. The structure will be perturbed when a message is hided into the audio. Inspired by this principle, we propose a novel adaptive steganography scheme on audio by means of minimizing the perturbation to improve the undetectability and imperceptibility of stego audio. In the novel framework, the embedding algorithm is formulated into two phases of designing: 1) finding an optimal embedding path 2) designing an optimal modification strategy. The two phases focus on the stability of topography structure from global and local points respectively. Practical merits of this approach are validated by testing adaptive embedding scheme for audio in wavelet domain.