Restoration method of ancient mural image defect information based on neighborhood filtering

Article type: Research Article

Authors: Li, Hao

Affiliations: College of Humanities, Minjiang University, Fuzhou, Fujian 350108, China | E-mail: [email protected]

Correspondence: [*] Corresponding author: College of Humanities, Minjiang University, Fuzhou, Fujian 350108, China. E-mail: [email protected].

Abstract: The local data of ancient murals is seriously damaged, and image noise exists in the process of restoration, which affects the quality of restoration of ancient murals. Therefore, this paper studies the restoration method of ancient mural image defect information based on neighborhood filtering. On the premise of obtaining the causes of ancient mural defects, this method enhances image data based on spatial domain enhancement method, extracts pixel similar information based on neighborhood filtering, searches in the whole image, and removes image noise used to repair local areas; By extracting the line drawing features of mural, the defect part of ancient mural image can be repaired. The experimental results show that the peak signal-to-noise ratio of the repaired image is the highest and the quality of the image is better under the application of the repair method.

Keywords: Neighborhood filtering, ancient fresco, image defect, information restoration

DOI: 10.3233/JCM-215162

Journal: Journal of Computational Methods in Sciences and Engineering, vol. 21, no. 3, pp. 747-762, 2021