Study On Sensitive Visual Information Hiding Of Multidimensional Stochastic Serial

The hiding technology of sensitive visual information in multidimensional stochastic series is a new research field involved in multi-subject, which is developed rapidly these years. It conceals visual "existence" of information by making use of visual characteristics of human eyes. Now relative technology and applications are changed quickly, so it's very important to analyze and study some crucial problems in this field systematically for establishing integrated multidimensional visual information hiding system theoryIn this dissertation, some issues involved in sensitive visual information hiding theory and techniques are studied, and the work finished independently is introduced in detail as follows:(1) General theory and mathematical model of sensitive image hiding communication system in multidimensional visual information series are investigated particularly. For 4 typical applications the scheme and function equation of corresponding hiding systems are established.(2) The concerned series state space for multidimensional visual sensitive image hiding is analyzed, and three types of state space are defined including image information auto-hiding space, image visual dissimilarity hiding space and image visual unapparent changing space. Thus two sensitive image-hiding methods are designed, which finish extracting sensitive sub-image region and hiding this sensitive information to the remains image series.(3) Relation between image visual character and image bit plane is studied, and a hiding method of sensitive information based on host image bit plane is designed. Its advantage is remaining the good quality and statistics of raw image in hiding course while large computations are embedded.(4) Relation between image visual character and coefficients of DWT transformation is investigated, and image information hiding algorithm is proposed based on discrete wavelet transform. It has good performance on robustness, anti-jamming and anti-compressing.(5) The technology of chaos encryption and series scrambling encryption before sensitive image information hiding is studied, and a hiding algorithm for chaos encryption and DWT coefficients hiding of sensitive image is suggested. And the algorithm doesn't need the raw image to extract sensitive information. The sightless property and secrecy of the algorithm are analyzed, and the results of simulation experiments show its good performance.(6) The technology of automatic recognition and segmentation of sensitive visual information in secret image series is studied. The general course of scene recognition based on visual characteristic is analyzed systematically, and a five-layer model of scene recognition is proposed. According to the model corresponding scene recognizing analysis system is built; and thus a detection system of sensitive sub-image is designed using junior visual characteristics as color, texture, sketch and shape etc. The efficiency and effect of detection position algorithm are analyzed in detail according to theoretic analysis and experiment.(7) For special application, a real-time scene communication system of recognizing and segmenting automatic silver gray ball image based on DM642-FPGA is designed. It can identify feasibility of automatic hiding sensitive information in multidimensional visual information series.Finally, the thesis is concluded by pointing out some open issues on the research of information hiding and steganogaphy as well as highlighting some further research directions.