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In this paper, we propose a new information hiding technique without embedding any information into the target content by using neural network trained on frequency domain. Proposed method can detect a hidden bit codes from the content by processing the selected feature subblocks into the trained neural network. Hidden codes are retrieved from the neural network only with the proper extraction key...
In order to provide large capacity of hidden secret data and imperceptibility of stego-image, in this paper, a novel image steganographic method based on self-organizing map and HVS was presented. According to contrast and texture sensitivity, self-organizing map based on competitive learning is trained. So NNs trained is the key of the embedded and extracted secret data. The method exploits neighboring...
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