A new source model for image sequence based on detecting and optimization image edge established as well as the coder system is simulated by computer. On the basis of subjective vision characters

the basic idea of this paper is: the edge information of an image sequence is the most significant factor which can describe the image's characters both in space and time domain. By this scheme

neither any priori knowledge of an image is needed nor too much complicated techniques must be applied for model's construction or realization. According to the source model

the method of image matching using geometrical constrains is achieved for motion analysis; means of prediction between frames were extended by the concept of general motion introduced; and the algorithm of general motion analysis is completed. The scheme is also characterized by fitting gray value distribution of images using normal polynomials.