A Steganographic Method Based on SOM and Wavelet Contrast

To provide large capacity of the hidden secret data and to maintain a good visual quality of stego-image, a novel steganographic method based on SOM and wavelet contrast is presented. Firstly, an image was divided into blocks, and every block was decomposed into one-level wavelet to obtain the wavelet contrast. Then, blocks were classified by the Self-organizing Map (SOM) Neural Networks. Finally, the secret information was embedded with steganography based on modulus. From experimental results, it can be seen that the proposed method hides much more information and maintains a better visual quality of stego-image compared with WCL.