A new JPEG image steganalysis technique combining rich model features and convolutional neural networks

@inproceedings{Zhang2019ANJ,
  title={A new JPEG image steganalysis technique combining rich model features and convolutional neural networks},
  author={Tong Zhang and Hao Zhang and Ran Wang and Yunda Wu},
  year={2019}
}
The best traditional steganalysis methods aiming at adaptive steganography are the combination of rich models and ensemble classifier. In this study, a new steganalysis method for JPEG images based on convolutional neural networks is proposed to solve the high dimension problem in steganalysis from another aspect. On the basis of the original rich model, the algorithm adds different sizes of discrete cosine transform (DCT) basis functions to extract different detection features. Different… CONTINUE READING

Similar Papers

Loading similar papers…