IMAGE COMPLETION BY SPATIAL-CONTEXTUAL CORRELATION FRAMEWORK USING AUTOMATIC AND SEMI-AUTOMATIC SELECTION OF HOLE REGION

An image inpainting scheme has been proposed that utilizes the spatial contextual information approach for image completion. The domain to be inpainted is smooth for texture images. It can be inpainted using exemplar and variational methods. In proposed method, the regions to be removed from the ima...

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Bibliographic Details
Main Authors: D. Beulah David, Dorai Rangaswamy
Format: Article
Language:English
Published: ICT Academy of Tamil Nadu 2015-08-01
Series:ICTACT Journal on Image and Video Processing
Subjects:
Online Access:http://ictactjournals.in/paper/IJIVP_Paper_6_pp_1086_1095.pdf
Description
Summary:An image inpainting scheme has been proposed that utilizes the spatial contextual information approach for image completion. The domain to be inpainted is smooth for texture images. It can be inpainted using exemplar and variational methods. In proposed method, the regions to be removed from the image are segmented and pull out of the image where it is tenure as hole. As the hole in the image to be inpainted is an unsupervised approach, we are computing the pixel in the holes using spatial contextual correlations. The method’s efficacy is embodied by real images.
ISSN:0976-9099
0976-9102