International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 95 - Issue 14 |
Published: June 2014 |
Authors: Pooja Singh, Manish Sharma, Nupur Chauhan |
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Pooja Singh, Manish Sharma, Nupur Chauhan . An Analytical Comparison of Inpainting Techniques for Effective Selection. International Journal of Computer Applications. 95, 14 (June 2014), 21-24. DOI=10.5120/16662-6648
@article{ 10.5120/16662-6648, author = { Pooja Singh,Manish Sharma,Nupur Chauhan }, title = { An Analytical Comparison of Inpainting Techniques for Effective Selection }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 95 }, number = { 14 }, pages = { 21-24 }, doi = { 10.5120/16662-6648 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Pooja Singh %A Manish Sharma %A Nupur Chauhan %T An Analytical Comparison of Inpainting Techniques for Effective Selection%T %J International Journal of Computer Applications %V 95 %N 14 %P 21-24 %R 10.5120/16662-6648 %I Foundation of Computer Science (FCS), NY, USA
Image inpainting is a method that restores or repairs a damaged or corrupted piece of the image or video in undetectable form. This method has a broad range of applications, such as removing scratches in previous photographs, removing large objects, text and creative special effects. The major aim of the inpainting is to change the damaged region in an image. In this paper we provide a comparative analysis of different techniques used for image inpainting. In this paper we discuss various inpainting techniques as texture synthesis inpainting, PDE based inpainting, and exemplar based inpainting.