| Information fusion is a kind of high-new technology in the field of information science that utilize different information form multiple sensors in order to obtain a more comprehensive and useful information. The technology promotes information science to achieve further development and makes a contribution to applied science. Vision synthetic is a very important aspect of information fusion whose objects to deal with are visions or images. One takes complement and abandon redundancy from different images through vision synthetic to get a more lively image that is more adaptive to people. According to different requirement, different work can be done. The needed information is reinforced and the redundant information is discarded to full the application need. At present, the technique of information fusion and vision synthetic has been applied in many fields widely.The work in the dissertation is focus on the studying of vision synthetic. Firstly basic concepts of information fusion are introduced, involving definition, application and methods of information fusion. Then comprehensive analysis and research on the technique of vision synthetic referring to image fusion, image mosaic and virtual reality is done. For image fusion, the paper provides some traditional algorithms and makes simulation experiments on the maximum entropy in area, weighted-average and the max or min gray value, and gives detailed experiment data and performance analysis on the basis of intensively understanding to different algorithms. For image mosaic, after the introduction of basic theory and traditional algorithms, a feasible solution is proposed according to the shortage of existing algorithms.The creative point is that the algorithm is not only applicable to images with displacement and rotation, but also resolve the limitation of current algorithms to images with scale change. The experiments show that it is steady and reliable. Finally VR(virtual reality)technology is introduced, and AR(augmented reality)and the application and development of VR is discussed deeply. The dissertation is significant and valuable. |