| Texto completo | |
| Autor(es): |
Carneiro, Sarah Almeida
;
Pedrini, Helio
;
Ferzoli Guimaraes, Silvio Jamil
Número total de Autores: 3
|
| Tipo de documento: | Artigo Científico |
| Fonte: | PROGRESS IN PATTERN RECOGNITION, IMAGE ANALYSIS, COMPUTER VISION, AND APPLICATIONS, CIARP 2018; v. 11401, p. 9-pg., 2019-01-01. |
| Resumo | |
Image inpainting can be defined as a restoration process in which damaged or selected regions are repaired by taking into account the image content. In this work, we employ a local-based strategy instead of a global one to identify the best existing patch with information to replace the damaged/selected patch. In order to properly identify the most representative patches, we propose a method based on the (i) creation of a local graph using a similarity of patches in the original image and (ii) partition of the image into regions according to hierarchical image segmentation to support the local patch identification. The experimental results demonstrate that our local search outperformed the results of image inpainting in terms of both qualitative and quantitative aspects, when compared to global search of patches. (AU) | |
| Processo FAPESP: | 17/12646-3 - Déjà vu: coerência temporal, espacial e de caracterização de dados heterogêneos para análise e interpretação de integridade |
| Beneficiário: | Anderson de Rezende Rocha |
| Modalidade de apoio: | Auxílio à Pesquisa - Temático |