Title: A modified patch propagation-based image inpainting using patch sparsity
Abstract:We present a modified examplar-based inpainting method in the framework of patch sparsity. In the examplar-based algorithms, the unknown blocks of target region are inpainted by the most similar block...We present a modified examplar-based inpainting method in the framework of patch sparsity. In the examplar-based algorithms, the unknown blocks of target region are inpainted by the most similar blocks extracted from the source region, with the available information. Defining a priority term to decide the filling order of missing pixels ensures the connectivity of object boundaries. In the exemplar-based patch sparsity approaches, a sparse representation of missing pixels was considered to define a new priority term. Here, we modify this representation of the priority term and take measures to compute the similarities between fill-front and candidate patches. Comparative reconstructed test images show the effectiveness of our proposed approach in providing high quality inpainted images.Read More
Publication Year: 2012
Publication Date: 2012-05-01
Language: en
Type: article
Indexed In: ['crossref']
Access and Citation
Cited By Count: 10
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