%0 Journal Article %T A 3-D patches mean method for removing moving objects and video inpainting %J Journal of Machine Vision and Image Processing %I Iranian Society of Machine Vision and Image Processing %Z 2383-1197 %A Sheykhalishahi, Fatemeh %A Saryazdi, Saeid %A Nezamabadipour, Hossein %D 2018 %\ 05/22/2018 %V 5 %N 1 %P 113-128 %! A 3-D patches mean method for removing moving objects and video inpainting %K video inpainting %K moving object deletion %K non-local means %K 3D patch %K prioritizing of target pixels %R %X This paper proposes a 3-D non-local means (NLMs) method for the application of video inpainting. To do this, first it assigns to the target pixels a priority and then restores them. The priority assignment of the target pixels is done based on structure and texture information of their neighbors’ pixels. To determine the type of each patch, which can be either texture or structure, the entropy criterion is used. The proposed method, to estimate damaged pixels, uses several non-local patches instead of the best matched patch. The subjective and objective experiments confirm the superiority of proposed method in the application of video inpainting and removing moving objects from the video in comparison with state-of-the-art methods. %U https://jmvip.sinaweb.net/article_49289_857083f05cfbb41b45c02ecdbd19755d.pdf