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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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
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spelling doaj-bbdaa991941b46fba46a0f494a00b6702020-11-25T01:14:00ZengICT Academy of Tamil NaduICTACT Journal on Image and Video Processing0976-90990976-91022015-08-016110861095IMAGE COMPLETION BY SPATIAL-CONTEXTUAL CORRELATION FRAMEWORK USING AUTOMATIC AND SEMI-AUTOMATIC SELECTION OF HOLE REGIOND. Beulah David0Dorai Rangaswamy1Sathyabama University, IndiaAarupadai Veedu Institute of Technology, IndiaAn 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.http://ictactjournals.in/paper/IJIVP_Paper_6_pp_1086_1095.pdfInpaintingSegmentationSpatial Contextual CorrelationDissolve
collection DOAJ
language English
format Article
sources DOAJ
author D. Beulah David
Dorai Rangaswamy
spellingShingle D. Beulah David
Dorai Rangaswamy
IMAGE COMPLETION BY SPATIAL-CONTEXTUAL CORRELATION FRAMEWORK USING AUTOMATIC AND SEMI-AUTOMATIC SELECTION OF HOLE REGION
ICTACT Journal on Image and Video Processing
Inpainting
Segmentation
Spatial Contextual Correlation
Dissolve
author_facet D. Beulah David
Dorai Rangaswamy
author_sort D. Beulah David
title IMAGE COMPLETION BY SPATIAL-CONTEXTUAL CORRELATION FRAMEWORK USING AUTOMATIC AND SEMI-AUTOMATIC SELECTION OF HOLE REGION
title_short IMAGE COMPLETION BY SPATIAL-CONTEXTUAL CORRELATION FRAMEWORK USING AUTOMATIC AND SEMI-AUTOMATIC SELECTION OF HOLE REGION
title_full IMAGE COMPLETION BY SPATIAL-CONTEXTUAL CORRELATION FRAMEWORK USING AUTOMATIC AND SEMI-AUTOMATIC SELECTION OF HOLE REGION
title_fullStr IMAGE COMPLETION BY SPATIAL-CONTEXTUAL CORRELATION FRAMEWORK USING AUTOMATIC AND SEMI-AUTOMATIC SELECTION OF HOLE REGION
title_full_unstemmed IMAGE COMPLETION BY SPATIAL-CONTEXTUAL CORRELATION FRAMEWORK USING AUTOMATIC AND SEMI-AUTOMATIC SELECTION OF HOLE REGION
title_sort image completion by spatial-contextual correlation framework using automatic and semi-automatic selection of hole region
publisher ICT Academy of Tamil Nadu
series ICTACT Journal on Image and Video Processing
issn 0976-9099
0976-9102
publishDate 2015-08-01
description 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.
topic Inpainting
Segmentation
Spatial Contextual Correlation
Dissolve
url http://ictactjournals.in/paper/IJIVP_Paper_6_pp_1086_1095.pdf
work_keys_str_mv AT dbeulahdavid imagecompletionbyspatialcontextualcorrelationframeworkusingautomaticandsemiautomaticselectionofholeregion
AT dorairangaswamy imagecompletionbyspatialcontextualcorrelationframeworkusingautomaticandsemiautomaticselectionofholeregion
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