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Removing Unwanted Objects from an Image using Image in-painting

by Manjushri D. Sarode, Rahul Dagade
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 157 - Number 5
Year of Publication: 2017
Authors: Manjushri D. Sarode, Rahul Dagade
10.5120/ijca2017912684

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 },
issue_date = { Jan 2017 },
volume = { 157 },
number = { 5 },
month = { Jan },
year = { 2017 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume157/number5/26824-2017912684/ },
doi = { 10.5120/ijca2017912684 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:03:05.279117+05:30
%A Manjushri D. Sarode
%A Rahul Dagade
%T Removing Unwanted Objects from an Image using Image in-painting
%J International Journal of Computer Applications
%@ 0975-8887
%V 157
%N 5
%P 1-5
%D 2017
%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.

References
  1. FaouziBenzarti, Hamid Amiri, TSIRF (ENIT)-TUNISIA (2012). “Repairing and In-painting Damaged Images using Diffusion Tensor” IJCSI International Journal of Computer Science Issues, Vol 9, Issue 4, No 3, July 2012 ISSN 1694-0814.
  2. Jason C. Hung, Chun-Hong Hwang, Yi-Chun Liao, Nick C. Tangand Ta-Jen Chen, “Exemplar-based Image In-painting base onStructure Construction”, JOURNAL OF SOFTWARE, VOL. 3, NO. 8, NOVEMBER 2008.
  3. M. Bertalmio, L. Vese, G. Sapiro And S. Ocher, “Simultaneous Structure and Texture Image In-painting” IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 12,NO. 8, AUGUST 2003
  4. ShivaniGaikar, NehaKhairnar, Nikita Rane and M. J. Surti, “Image Inpainting using Exemplar based, DCT and FMM Algorithm”,International Conference of Advance Research and Innovation, ISBN 978-93-5156-328-0, 2014.
  5. Manali Desai, “Modified Fast and Enhanced Exemplar based In painting Algorithm for Solving Unknown Row Filling Problem”,International Journal of Computer Applications (0975 – 8887, volume 56– No.9, October 2012.
  6. SheetalBadgujar and N. M. Shahane, “Examplar-based ImageInpainting and Approaches to Improve the Performance”,International Journal of Computer Applications (0975 – 8887), 2013.
  7. Efros, A.A., Leung, T.K. “Texture synthesis by non-parametricsampling” IEEE International Conference on Computer Vision, Gorfu, Greece, September.
  8. G.AntoSilviya and V.R.Bhuma, “Exemplar-Based Image Inpainting by Laplacian Approximation Method Using Spatiogram”, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622.
  9. Criminisi, A., Prez, P., Toyama, K. Region filling and object removal by Exemplar-based image in-painting IEEE Trans. On Image Processing 2004.
  10. Olivier Le Meur and Christine Guillemot ‘Super-Resolution- based In-painting’ IEEE TRANSACTIONS ON IMAGE PROCESSING VOL.PP NO 99 YEAR 2013.
  11. MouniraEbdelli, and Christine Guillemot’Hierarchical Super-Resolution-Based In-painting’, IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 22, NO. 10, OCTOBER 2013.
  12. S.Priyalakshmi, C.K.Sangeetha, S.Vijayalakshmi, T.C.Monica ‘Super Resolution Image Reconstruction Using fast In-painting Algorithm’, International Journal of Scientific & Engineering Research, Volume 5, Issue 8,August-2014 1243 ISSN 2229- 5518 .
  13. Manoj K Y , M r . Venkatesh U C,D r . A n tony P J ‘A Superresolution Based Image In-painting in the Advertence of Exemplar Technique’, International Journal of Engineering Research & Technology (IJERT) IJERTIJERT ISSN: 2278-0181 Vol. 3 Issue 4, April - 2014.
  14. Glasner, D., Bagon, S., Irani, M.: Super-resolution from a single image. In: In 2009 IEEE 12th International Conference on omputer Vision (ICCV). Volume 10. (2009) .
  15. Sreelekshmi Das and Reeba R. Robust Exemplar based ObjectRemoval in Video International Journal of Scientific Engineering and Research (IJSER), ISSN (Online): 2347 - 3878, Volume 1 Issue 2, October 2013.
  16. Pratika Patel, AnkitPrajapati, Shailendra Mishra “Review of Different In-painting Algorithms”,2012 International Journal of ComputerApplications.
  17. Anupam, PulkitGoyal, SapanDiwakar “Fast and Enhanced Algorithm for Exemplar Based Image In-painting”,
  18. A. J. Thesiya, D. U. Shah, P. V. Kathiriya, G. B. Vasani and J. L.Vyas “Image In-painting Realization of GUI in JAVA Using Exemplar Method”, 2013IOSR Journal of Electronics and Communication Engineering (IOSR-JECE).
Index Terms

Computer Science
Information Sciences

Keywords

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

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