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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
Year of Publication: 2017
Authors:
Manjushri D. Sarode, Rahul Dagade
10.5120/ijca2017912684

Manjushri D Sarode and Rahul Dagade. Removing Unwanted Objects from an Image using Image in-painting. International Journal of Computer Applications 157(5):1-5, January 2017. BibTeX

@article{10.5120/ijca2017912684,
	author = {Manjushri D. Sarode and Rahul Dagade},
	title = {Removing Unwanted Objects from an Image using Image in-painting},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2017},
	volume = {157},
	number = {5},
	month = {Jan},
	year = {2017},
	issn = {0975-8887},
	pages = {1-5},
	numpages = {5},
	url = {http://www.ijcaonline.org/archives/volume157/number5/26824-2017912684},
	doi = {10.5120/ijca2017912684},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, 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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Keywords

In-painting, super-resolution, Image Processing, Exemplar-based in-painting.