Image inpainting using CDD based on p(z)-Laplace
Yalin Yan · Journal of Heilongjiang Institute of Technology · 2012
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 widely used to restore old photo,remove text and conceal errors in videos.In the paper,a new image inpainting using CDD based on p(z)-Laplace is proposed.This algorithm mainly reverts cracks in photo-graphs and removes texts from photos,which makes full use of the nonlinear anisotropic diffusion of p(z)-Laplace operator to inpaint damaged images.The diffusion coefficients in the new model are self-adaptive for the detective of edges.Then we show numerical evidence of the power of resolution of these models with respect to p(z)-Laplace operator.