Research Article
Removing Unwanted Objects from an Image using Image in-painting
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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| Volume 157 - Issue 5 |
| Published: Jan 2017 |
| Authors: Manjushri D. Sarode, Rahul Dagade |
10.5120/ijca2017912684
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Manjushri D. Sarode, Rahul Dagade . Removing Unwanted Objects from an Image using Image in-painting. International Journal of Computer Applications. 157, 5 (Jan 2017), 1-5. DOI=10.5120/ijca2017912684
@article{ 10.5120/ijca2017912684,
author = { Manjushri D. Sarode,Rahul Dagade },
title = { Removing Unwanted Objects from an Image using Image in-painting },
journal = { International Journal of Computer Applications },
year = { 2017 },
volume = { 157 },
number = { 5 },
pages = { 1-5 },
doi = { 10.5120/ijca2017912684 },
publisher = { Foundation of Computer Science (FCS), NY, USA }
}
%0 Journal Article
%D 2017
%A Manjushri D. Sarode
%A Rahul Dagade
%T Removing Unwanted Objects from an Image using Image in-painting%T
%J International Journal of Computer Applications
%V 157
%N 5
%P 1-5
%R 10.5120/ijca2017912684
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Image in-painting refers to a technique used for refill the missing regions of an imageand recover the corrupted image.Image in-painting or completion is a technique to restore a damaged image completely. In-painting approaches play a important role in numerous applications like object deletion, scratch deletion, Image restoration etc. Two classes of algorithms addressed this problem, these classes are: (i)Texture synthesis algorithms for creating large image regions from sample textures, and (ii) In-painting techniques for filling in small image region or gap. Various strategies have been proposed different Exemplar-based image in-painting algorithms to recover the structure of damaged images. This paper introduces a novel and efficient exemplar based Image In-painting Algorithm with investigating natural image patches. It contain in-painting techniques with respect to restoration of image. The goal of any image in-painting algorithm is to reconstruct the missing or damaged regions.
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