一种基于整体变分的图象修补算法

图象修补是图象恢复研究中的一个重要内容，它的目的是根据图象现有的信息来自动恢复丢失的信息，可以用于旧照片中丢失信息的恢复。由于图象中的边缘代表了图象的重要信息，所以在设计修补算法时，必须着重考虑边缘的恢复，采用整体变分模型设计了一个图象修补算法，整体变分模型能够模拟人的低层视层，在修补图象时可以恢复图象中的边缘，数值实验表明，该模型能够较好地恢复待修补区域的信息，但是受修补区域大小的影响，同时又采用了一种向前传播操作来缩小修补区域。

Image Inpainting Based on Total Variational Model

Image inpainting is an important research topic in the area of image restoration, its objective is to restore the lost information according to around image information,which can be used to restore old photo. Because edge information of image is very important ,it is prior to take edge information restoring into account while designing image inpainting algorithm. Based on total variational model, a digital image inpainting algorithm is presented in this paper. Total variational model can simulate low level human vision, during the process of image inpainting, which can restore edge features in image. Numerical experiment results show that this model can restore the information in inpainting area fairly well, but it will be disturbed by the size of inpainting region, so, an information propagation method is used first to shrink the size of inpainting region.