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http://dx.doi.org/10.5909/JBE.2019.24.1.186

Texture Garbage Elimination Algorithm for Exemplar-based Image Inpainting  

Kong, Young Il (Dept. of Multimedia Engineering, Hanbat National University)
Lee, Si-Woong (Dept. of Multimedia Engineering, Hanbat National University)
Publication Information
Journal of Broadcast Engineering / v.24, no.1, 2019 , pp. 186-189 More about this Journal
Abstract
Image inpainting is an image processing technique that restores an image by naturally filling the empty or damaged regions in an image. In this paper, we present a new image inpainting technique that can suppress the generation of texture garbage which is one of the artifacts of existing exemplar-based image inpainting. Unlike the existing technique, only the stationary source patch is sampled as the exemplar patch based on the assumption of spatial stationarity of the texture. This prevents the texture garbage, which is an inconsistent piece of texture from being copied to the target region. Experimental results show that the texture synthesis using the proposed method produces more natural inpainting results than the existing method.
Keywords
image inpainting; texture synthesis; texture garbage;
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