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Qiang Zhenping, He Libo, Chen Xu, Xu Dan. Image Inpainting Using Image Structural Component and Patch Matching[J]. Journal of Computer-Aided Design & Computer Graphics, 2019, 31(5): 821-830. DOI: 10.3724/SP.J.1089.2019.17368
Citation: Qiang Zhenping, He Libo, Chen Xu, Xu Dan. Image Inpainting Using Image Structural Component and Patch Matching[J]. Journal of Computer-Aided Design & Computer Graphics, 2019, 31(5): 821-830. DOI: 10.3724/SP.J.1089.2019.17368

Image Inpainting Using Image Structural Component and Patch Matching

  • Image inpainting methods base on exemplar have discontinuous structure in the repaired image,which usually caused by the repairing sequence error due to the improper calculation of patches priority.This paper proposes an image inpainting method which calculates the patches priority based on image structural component. First, the adaptive local Laplacian filters are used to edge-aware detail smoothing of the inpainting image, and acquire the structural component image. Then the data term of every border patch is calculated together with the structural component image and the corrupted image, and the priority is computed for each border patch by the data term. Finally, the corrupted image is inpainted according to the obtained priorities. The experimental results show that the inpainting methods guided by the structural component can achieve better visual effect compared to the original methods.
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