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Analysis of various Exemplar-based methods

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Author(s): Rashmi P. Bijwe | Dr. P. R. Deshmukh

Journal: International Journal of Computer Technology and Applications
ISSN 2229-6093

Volume: 03;
Issue: 01;
Start page: 332;
Date: 2012;
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ABSTRACT
Image in painting is a technique used to automatically recover the damaged or missing regions in digital images or used to remove the unwanted objects from images. Many researchers have proposed a large variety of exemplar based image in painting algorithms to restore the structure and texture of damaged images. In this paper, There is comparison among various exemplar based image in painting algorithms which do not have diffusion related blur in the result image. The analyzed algorithms are Antonio Criminisi et al’s Region filling algorithm, Jiying Wu et al’s Hybrid algorithm and Zhaolin Lu et al’s Image completion algorithm.
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