Research on image-based information hiding and information detection technology

Information hiding and information detection technology is a new interdisciplinary subject in the field of information security developed in the middle and late 1990s. The main research content of this paper is information hiding technology and information detection technology based on digital images In this paper, the basic concepts and theories of image information hiding technology are analyzed and discussed. On the basis of studying the existing information hiding algorithms, a block-based and large-capacity LSB algorithm is designed. The algorithm combines the masking characteristics of human visual system to block images, In order to embed secret information adaptively. The algorithm has good concealment and large hiding capacity. In order to implement image copyright protection under the premise of ensuring image quality, a block-based DCT domain robust algorithm is designed combining with human visual characteristics. The algorithm has strong robustness and large hiding capacity Information hiding and information detection are two opposite aspects. This paper also conducts in-depth study and analysis of the basic concepts and basic theories of image information detection technology. On the basis of studying the existing information detection algorithms, an efficient, high-precision and universal image secret analysis algorithm is designed. This algorithm analyzes and studies the statistical characteristics of the high-frequency part of the wavelet subband coefficients of the secret image and the normal image, from the texture statistical moment The DCT coefficient histogram moment and the correlation between the context are used to extract features, form feature vectors, and use SvM method to classify. An image secret analysis algorithm that extracts multiple features from different types and different angles is implemented, which solves the problem of insufficient feature extraction in the existing universal secret analysis algorithm. The algorithm can detect illegal images spread on the network The research and test results of this paper also show that the performance indicators such as hiding capacity, concealment and robustness are relative. While improving one indicator, it may be difficult to meet other indicators. Different applications of information hiding technology have different specific requirements, and a certain indicator can be selectively enhanced according to the actual situation