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Novel Bound Setting Algorithm for Occluded Region Reconstruction for Reducing the Inpainting Complexity under Extreme Conditions

by Bindu A, C N Ravi Kumar
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 16 - Number 5
Year of Publication: 2011
Authors: Bindu A, C N Ravi Kumar
10.5120/2012-2717

Bindu A, C N Ravi Kumar . Novel Bound Setting Algorithm for Occluded Region Reconstruction for Reducing the Inpainting Complexity under Extreme Conditions. International Journal of Computer Applications. 16, 5 ( February 2011), 1-6. DOI=10.5120/2012-2717

@article{ 10.5120/2012-2717,
author = { Bindu A, C N Ravi Kumar },
title = { Novel Bound Setting Algorithm for Occluded Region Reconstruction for Reducing the Inpainting Complexity under Extreme Conditions },
journal = { International Journal of Computer Applications },
issue_date = { February 2011 },
volume = { 16 },
number = { 5 },
month = { February },
year = { 2011 },
issn = { 0975-8887 },
pages = { 1-6 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume16/number5/2012-2717/ },
doi = { 10.5120/2012-2717 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T20:04:02.795913+05:30
%A Bindu A
%A C N Ravi Kumar
%T Novel Bound Setting Algorithm for Occluded Region Reconstruction for Reducing the Inpainting Complexity under Extreme Conditions
%J International Journal of Computer Applications
%@ 0975-8887
%V 16
%N 5
%P 1-6
%D 2011
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Image Inpainting technique has been widely used for reconstructing damaged old photographs and removing unwanted objects from images. In this paper, we present a novel significant preprocessing step for periphery frontier setting technique which alleviates the process of image inpainting to a great extent. Our method improves the robustness and effectiveness by rational confidence computing method, matching strategy and filling scheme. Therefore, our method effectively prevents “growing garbage”, which is a common problem in other methods. With our method, we can obtain preferable results to those obtained by other similar methods.

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Index Terms

Computer Science
Information Sciences

Keywords

Image Color Analysis Image Decomposition Object Detection Image Segmentation Object Segmentation

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