Exemplar-based Image Inpainting via Fast Global Optimal Searching
This paper presents an image inpainting algorithm which relies on the fast global optimal searching.The whole framework of our method is focused on approximating the minimum of the proposed energy function with additional new texture term.We combine four steps in the framework.First,the initialization is carried out layer by layer in a fast way.Second,we use PatchMatch algorithm to realize the search of approximate nearest neighbors for patches in the missing region.Third,a weighted mean based image reconstruction method is implemented iteratively.Last,we use Poisson editing to handle the illumination of missing region to get realistic looking image.In addition,the iterative calculation is embedded in a multiresolution pyramid.Experimental results show that our algorithm can effectively maintain the texture and structure characteristics of the missing region.
Exemplar-based inpainting Global image inpainting PatchMatch Poisson editing
Bing Yu Youdong Ding
Shanghai Film Academy of Shanghai University Shanghai,China
国际会议
重庆
英文
723-726
2017-03-25（万方平台首次上网日期，不代表论文的发表时间）