A Novel Image Steganography Using Chaotic Map and Visual Model

A novel image steganography method using chaotic map and human visual model is presented in DCT domain. Firstly each 8×8 image block is performed Discrete Cosine Transform, then the location of image block that is embedded secret message is determined by the chaotic map. Finally the secret message is embedded adaptively in the usable middle frequency coefficient pairs judged by Just Noticeable Difference(JND). Simulation results show that the algorithm has a high capacity and a good invisibility, moreover it is robust for the common image processing like JPEG compression and cropping.

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