摘要
敦煌壁画图像线条纹理结构复杂、轮廓边缘缺失,采用Criminisi算法修复时存在结构传播错误和块效应问题。因此,提出了一种基于边缘缺失结构重构和改进优先权的壁画图像修复算法。首先,通过改进的自适应贝塞尔曲线重构破损壁画缺失的边缘轮廓,以增强壁画的结构性,引导图像修复。然后,引入梯度、曲率等局部特征先验信息对优先权函数进行改进,避免优先权频繁趋于0引起的错误填充。最后,通过改进的动态阈值序贯相似性算法搜索匹配块,提高壁画修复效率,迭代完成壁画修复。对真实敦煌壁画数字化修复的实验结果表明,本算法能很好地解决Criminisi算法结构传播错误及块效应问题,修复后的壁画主客观评价结果均优于其他对比算法。
Dunhuang mural images have complex line texture structure and missing contour edges, There are structure propagation errors and block effects when using Criminisi algorithm to inpainting. Therefore, a mural image inpainting algorithm based on edge missing structure reconstruction and improved priority is proposed in this paper. First, the missing edge contour of the damaged mural is reconstructed by adaptive Bézier curve fitting method to enhance the structure of the mural and guide the image restoration. Then, the prior information of local features such as gradient and curvature is introduced to improve the priority function, which makes the calculation of priority more reasonable and avoids the problem of wrong filling caused by the priority frequently tends to 0. Finally, the sequential similarity detection algorithm based on dynamic threshold is used for searching matching blocks, which improves the efficiency of mural repair, and the mural image inpainting is completed iteratively. The experimental results of digital inpainting of real Dunhuang murals show that the algorithm can solve the problems of structure propagation error and block effect of Criminisi algorithm, and the subjective and objective evaluation results of inpainting murals is better than other comparative algorithms.
作者
陈永
陈锦
艾亚鹏
陶美风
Chen Yong;Chen Jin;Ai Yapeng;Tao Meifeng(School of Electronics and In formation Engineering,Lanzhou Jiaotong University,Lanzhou,Gan8u 730070,China)
出处
《激光与光电子学进展》
CSCD
北大核心
2021年第24期223-232,共10页
Laser & Optoelectronics Progress
基金
教育部人文社会科学研究青年基金(19YJC760012)
甘肃省人文社会科学一般项目(20ZC11)
兰州交通大学天佑创新团队(TY202003)。
关键词
图像处理
图像复原
壁画修复
结构重构
贝塞尔曲线拟合
优先权模型
image processing
image restoration
mural inpainting
structure reconstruction
Bézier curve fitting
priority model
