Fast image inpainting algorithm introducing continuous strength and confidence factor
引入连续性强度和置信度因子的快速图像修复

The traditional iterative image inpainting algorithm which is based on partial differential equations can hardly be used in practice,for its complicated computation and unsatisfied time consumption.The fast marching method(FMM) which is based level set can inpaint the damaged area fast and effective,but it can not prevent the edge well.To solve this problem,an improved algorithm is presented.Continuity strength is introduced when weight function is designed and the factor which contains isophote is adopted to estimate the position between each pixels. When inpainting a single pixel,confidence factor is introduced to weight the interpolating point.Experiments show that the proposed algorithms can ensure the computation efficiency,and at the same time,it well improves the inpainting quality.