针对闪光照相底片图像可能含有缺陷的问题,提出了一种基于偏微分方程的闪光照相图像修补算法,该算法在曲率驱动扩散(CDD)方法的基础上,引入变系数的p-Laplace算子,并将其与BSCB方法交替进行修补。该算法能兼顾水平线的梯度方向和切线方向的修补信息,符合人眼的“连通性准则”,并能有效修补面积较大的破损区域。与CDD修补算法相比,该算法能快速收敛,具有更好的修补效果。

In order to restore damaged radiography images,a new image inpainting algorithm for radiography has been proposed based on partial differential equations. This algorithm adopts p-Laplace operator of variational parameter into the curvature driven diffusions(CDD) model,and restores the damaged image using the improved model and the BSCB model by turns. By using the information along both tangent directions and gradient directions,the proposed algorithm can meet the connectivity principle of human vision perception and restore large damaged domain satisfactorily. It is proved that the new algorithm has better performance in convergence speed and inpainting quality compared with CDD model.