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Image Steganalysis Based on HPF Neural Network

Existing image steganalysis methods cannot fully extract image residual information, resulting in poor performance of image steganalysis methods. We propose an image steganalysis method based on HPF neural network, which includes two novel modules. One module is used to learn the residual information of the image, and the other module is used to improve the nonlinear expression ability of the model. We conducted experiments on two commonly used image steganalysis datasets, BOSSbase V1.01 and ALASKA-V2. Results show that the proposed neural network model is better than the SRNet model.