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Image Inpainting by Patch Propagation Using Patch Sparsity
2010
IEEE Transactions on Image Processing
This paper introduces a novel examplar-based inpainting algorithm through investigating the sparsity of natural image patches. Two novel concepts of sparsity at the patch level are proposed for modeling the patch priority and patch representation, which are two crucial steps for patch propagation in the examplar-based inpainting approach. First, patch structure sparsity is designed to measure the confidence of a patch located at the image structure (e.g., the edge or corner) by the sparseness
doi:10.1109/tip.2010.2042098
pmid:20129864
fatcat:26cck4y36zdarm2gviyapc3p54