基于深度学习的图像信息隐藏方法综述

Image information hiding technology can achieve the goals of confidential communication，copyright authentication and other information security protection behaviors during the transmission of pictures by hiding information covertly in images，which is one of the hotspots of current research in the field of information security. Firstly，we discuss the important and difficult problems of image information hiding methods based on deep learning. Secondly， we discuss the deep learning-based image steganography method from three perspectives： structural features， training features and application features. Then，we introduce the main datasets and evaluation criteria related to the domain and summarize the experimental performance. Next，this paper summarizes the applications of image information hiding techniques. Finally，we discuss the research directions of image information hiding techniques to provide insights and suggestions for the further developments in the field.