Inpainting Algorithm for Dunhuang Mural Based on Improved Curvature-Driven Diffusion Model

被引：0
|
作者：
Chen Y. [1 ]
Ai Y. [1 ]
Guo H. [1 ]
机构：
[1] School of Electronic and Information Engineering, Lanzhou Jiaotong University, Lanzhou
来源：
Jisuanji Fuzhu Sheji Yu Tuxingxue Xuebao/Journal of Computer-Aided Design and Computer Graphics | 2020年 / 32卷 / 05期
关键词：
Adaptive control; Curvature-driven model; Mural inpainting; Smooth function;
D O I：
10.3724/SP.J.1089.2020.17858
中图分类号：
学科分类号：
摘要：
The cracks of Dunhuang mural have the characteristic of complex shape and irregular scratches, and it is prone to false edges, staircase effects and long repair time by using curvature-driven diffusion (CDD) algorithm. An adaptive inpainting algorithm for Dunhuang mural based on improved CDD model is proposed in this paper. Firstly, the gradient disappearance problem in CDD algorithm is improved to make the diffusion term more reasonable. Then an adaptive control strategy is proposed. Different repair models can be selected to dynamically self-adaptively repair when the curvature of the damaged area of mural crack is different. Finally, a corner diffusion repair is carried out by using smooth function to achieve the purposes of denoising and edge protection. The experimental results of restoration of real Dunhuang mural show that the algorithm can solve the problems of unnatural transition edges and long repair time of CDD algorithm. The proposed method is superior to other algorithms in PSNR and restoration time evaluation. © 2020, Beijing China Science Journal Publishing Co. Ltd. All right reserved.
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页码：787 / 796
页数：9
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