In order to improve the realism of the simulated scene, weathering the objects of the image is an effective method. Using an image processing method to achieve the fine weathering effect of the objects surface in the image. First of all, use the radial basis function (RBF) method to calculate the weathering degree image. Even if the color of the surface of the object changed greatly, the algorithm could calculate the degree of weathering more accurately. Then, use the image segmentation algorithm to extract the most weathered region as the "weathering exemplar". Finally, the patchmatch image repair algorithm was used to complete the "weathering exemplar", so that the "weathering exemplar" could be propagated seamlessly in the weathering area of the image. The results show that the proposed method can generate various types of weathering effects. Using the method of exemplar propagation can better simulate the weathering image.

Reconstruction of rippedup documents was important for judicial authentication，cultural relic reconstruction and military information acquisition，etc．An approach for the reconstruction of regularly rippedup documents was proposed. Firstly, the line spacing of the fragments was automatically extracted. Secondly, meanshift algorithm was adapted to cluster all the fragments. Thirdly, for each cluster, the similarity matrix was constructed based on the grayscale of the edges of the fragments. Lastly, the document with genetic algorithm was reconstructed.Reconstruction of rippedup documents is important for judicial authentication，cultural relic reconstruction and military information acquisition，etc．In this paper，we propose an approach for the reconstruction of regularly rippedup documents. Firstly, the line spacing of the fragments is automatically extracted|Then meanshift algorithm is adapted to cluster all the fragments|Then for each cluster, the similarity matrix is constructed based on the grayscale of the edges of the fragments|Lastly, we reconstruct the document with genetic algorithm.