CFP last date
20 May 2024
Reseach Article

Patch Priority based Region Filling

by Darakhshan R. Khan, Archana B. Patankar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 124 - Number 12
Year of Publication: 2015
Authors: Darakhshan R. Khan, Archana B. Patankar
10.5120/ijca2015905680

Darakhshan R. Khan, Archana B. Patankar . Patch Priority based Region Filling. International Journal of Computer Applications. 124, 12 ( August 2015), 6-10. DOI=10.5120/ijca2015905680

@article{ 10.5120/ijca2015905680,
author = { Darakhshan R. Khan, Archana B. Patankar },
title = { Patch Priority based Region Filling },
journal = { International Journal of Computer Applications },
issue_date = { August 2015 },
volume = { 124 },
number = { 12 },
month = { August },
year = { 2015 },
issn = { 0975-8887 },
pages = { 6-10 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume124/number12/22154-2015905680/ },
doi = { 10.5120/ijca2015905680 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:14:11.603316+05:30
%A Darakhshan R. Khan
%A Archana B. Patankar
%T Patch Priority based Region Filling
%J International Journal of Computer Applications
%@ 0975-8887
%V 124
%N 12
%P 6-10
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Region filling is the way to fill in the missing region based on the information available from remaining part of the image. The occluded area must be rejuvenated in a visibly persuasive style is the main goal. This paper proposes a methodology for automating patch priority based region filling process. First, patch sizes are decided based on smallest texture of the image. Region filling algorithms fills in the missing region to create numerous region filled image. Finally, single region filled image is created by amalgamating images. This arrangement will have an edge over the other region filling algorithms such as patch size will be based on the input image which barbarizes the process of region filling and to deal with sensitivity in region filling, algorithm different parameter settings are used.

References
  1. Zhen Xie, Fan Zhang*, Conggui Zhang. 2011. An Adaptive Matching Algorithm for Image Inpainting. International Conference on Electronics, Communications and Control (ICECC).
  2. Komal s Mahajan, Prof. M. B. Vaidya. 2012. Image in Painitng Techniques: A survey. IOSR Journal of Computer Engineering (IOSRJCE).
  3. M. Bertalmio, G. Saprio, V. CAselles, and C. Ballester. 2000. Image Inpainting. In Proceedings of SIGGRAPH, pp. 417-424.
  4. A. Criminisi*, P. P´erez and K. Toyama. 2004. Region Filling and Object Removal by Exemplar-Based Image Inpainting. IEEE Transactions On Image Processing, Vol. 13, No. 9.
  5. SW. Cheng, C. Hsieh, S. Lin, C. Wang and J. Wu. 2005. Robust algorithm for exemplar based image inpainting. In Proceedings of International Conference on Computer Graphics, Imaginig and Visualization, pp.64-69.
  6. A. Wong and J. Orchard. 2008. A non local means approach to exemplar-based inpainting. In Proceedings of the 15 th IEEE International Conference on Image Processin, PP. 2600-2603.
  7. Lingni Ma Luat Do Peter H.N. de With. 2012. Fast and Improved Examplar-Based Inpainting Techniques for Natural Images.
  8. C. Fang and J. J. Lien. 2009. Rapid image completion system using multiresolution patch based directional and nondirectional approaches. IEEE Transactions on Image Processing, Vol. 18, pp. 2769-2779.
  9. Z Xu. And S. Jian. 2010. Image inpainting by patch piopagation using patch sparsity. IEEE Transactions on Image Preocessing, Vol. 19, pp.1153-1165.
  10. Olivier Le Meur, Mounira Ebdelli, and Christine Guillemot. 2013. Hierarchical Super-Resolution-Based Inpainting. IEEE Transactions On Image Processing, Vol. 22.
  11. Olivier Le Meur and Christine Guillemot. 2012. Super-Resolution-based Inpainting.
  12. P. Pérez, M. Gangnet, and A. Blake. 2003. Poisson image editing. In Proc.SIGGGRAPH, pp. 313–318.
  13. Alexandra Ioana Oncu, Ferdinand Deger, and Jon YngveHardeberg. 2012. Exaluation of Digital Inpainting Quality in the Context of artwork Restoration. In the journal of Springer-Verlag Berlin Heidelberg.
Index Terms

Computer Science
Information Sciences

Keywords

Object Removal Region Filling Patch Priority Texture Synthesis Sparsity Based Priority Inpainitng