earticle

영어

For the Chinese ancient art, stone carving experiences the etching of the natural environment and become blurred. How to process and store their images becomes a quite important problem. In this paper, an image process and storage method have been proposed. In this method, the blurred image will be firstly pretreated. Then, relative images which have high similarity with the blurred image will be retrieved in the database. Thirdly, blurred images are processed with template matching method to improve the clarity. Finally, processed images and the original images are stored in the dataset with classification. A blurred art image is used as the example to verify the validity of the method. The blurred image contains a person and a door. The query method is proposed with higher speed and precision, which is due to the pretreatment and mixed subgraph method. The pretreatment can improve the precision of the query content, while the mixed subgraph method can provide the completeness of the query content. Both the mechanism improves the retrieval precision. The blurred images excavated in the soil are often with pitting and rust, which is corresponding to the noise in the image process. In the image process step, the image is fixed up when the blurry points are big enough. The verification confirms the validity of the method.