Image texture synthesis method based on the trend function constraint

Texture synthesis technology can not only be used for texture transmission and repair damaged photos, but also has a broad application prospect in large-scale virtual scene rendering. In order to solve the problems of seam aliasing in texture mapping and considering the self-similarity of texture, this paper defines the trend function based on the biased random walk algorithm, divides the motion unit with different seed points and constructs the adjacency matrix, and calculates by matching labels Random walk stepping probability to realize texture synthesis. Compared with the background image segmentation results, it can be seen that the texture image generated by the algorithm in this paper presents similarity and continuity visually, and shows strong randomness at the same time.