关键词: 图像修复, 优先权, 局部特征, 曲率, 梯度

Abstract: When computing the order of target patch priority, Criminisi algorithm has defect, to solve this problem, an improved inpainting algorithm is proposed. To establish a new function about priority, the proposed algorithm takes into account local feature of image—curvature and gradient, and uses the information of curvature and gradient as a data item. Thus, the order of filling inpainting is more reliably. The experimental results show that the proposed algorithm overcomes the problem of excessive diffusion from high texture area to low area, and obtains better visual appearance.

Key words: image inpainting, priority, local feature, curvature, gradient