A Two-Step Image Inpainting Algorithm Using Tensor SVD

In this paper, we present a novel exemplar-based image inpainting algorithm using the higher order singular value decomposition (HOSVD). The proposed method performs inpainting of the target image in two steps. At the first step, the target region is inpainted using HOSVD-based filtering of the candidate patches selected from the source region. It helps to propagate the structure and color smoothly in the target region and restrict to appear unwanted artifacts. But a smoothing effect may be visible in the texture regions due to the filtering. In the second step, we recover the texture by an efficient heuristic approach using the already inpainted image. The experimental results show the superiority of the proposed method compared to the state of the art methods.