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An Analytical Comparison of Inpainting Techniques for Effective Selection
Author(s) -
Pooja Singh,
Manish Sharma,
Nupur Chauhan
Publication year - 2014
Publication title -
international journal of computer applications
Language(s) - English
Resource type - Journals
ISSN - 0975-8887
DOI - 10.5120/16662-6648
Subject(s) - inpainting , computer science , selection (genetic algorithm) , artificial intelligence , image (mathematics)
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.

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