Open Access Open Access  Restricted Access Subscription Access
Open Access Open Access Open Access  Restricted Access Restricted Access Subscription Access

Image Completion by Spatial-Contextual Correlation Framework Using Automatic and Semi-Automatic Selection of Hole Region


Affiliations
1 Department of Computer Science and Engineering, Sathyabama University, India
2 Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, India
     

   Subscribe/Renew Journal


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.

Keywords

Inpainting, Segmentation, Spatial Contextual Correlation, Dissolve.
Subscription Login to verify subscription
User
Notifications
Font Size

Abstract Views: 256

PDF Views: 3




  • Image Completion by Spatial-Contextual Correlation Framework Using Automatic and Semi-Automatic Selection of Hole Region

Abstract Views: 256  |  PDF Views: 3

Authors

D. Beulah David
Department of Computer Science and Engineering, Sathyabama University, India
Dorai Rangaswamy
Department of Computer Science and Engineering, Aarupadai Veedu Institute of Technology, India

Abstract


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.

Keywords


Inpainting, Segmentation, Spatial Contextual Correlation, Dissolve.