A Novel Method for Object Removing and Filling Using Exemplar Based Image Inpainting
M. Padmaja1, K. Suvarna Vani2, G. Sai Kumar3

1M.Padmaja, Department of ECE, VRSE, Engineering College, Vijayawada (Andhra Pradesh), India.
2K.Suvarna Rani, Department of ECE, VRSE, Engineering College, Vijayawada (Andhra Pradesh), India.
3G.Sai Kumar, Department of ECE, VRSE, Engineering College, Vijayawada (Andhra Pradesh), India.
Manuscript received on 07 April 2019 | Revised Manuscript received on 20 April 2019 | Manuscript published on 30 April 2019 | PP: 1069-1072 | Volume-8 Issue-6, April 2019 | Retrieval Number: F5023048619/19©BEIESP
Open Access | Ethics and Policies | Cite | Mendeley | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Image-inpainting is the current research area in image processing. This method is an image restoration dependent, which is used to reconstruct the damagedregions of an image. Images may comprises of contorted or undesired locales which are to be expelled.. The main aim of this technique is to fill up the damaged region of image in a natural way. Exemplar based inpainting technique uses sample based texture synthesis to inpaint these damaged regions, it consisting of two crucial phases.deciding the filling-in order and selecting good exemplars. The modified exemplarbased algorithm will look up for the reasonable patches in source area and replaces it in missing parts, but they need to confront an issue: improper determination of exemplars. To rectify this problem, we introduce an autonomous strategy through exploring the process of patches propagation in this paper. We first characterize a new separated priority definition to propagate geometry and then synthesize image textures, aiming to well recover image geometry and textures. In addition, an automatic algorithm is intended to estimate steps for the new separated priority definition. Comparing with some competitive approaches, the new priority definition can recoup picture geometry and textures well without degrading the image quality.
Keyword: Image Inpainting, Priority Defintion.
Scope of the Article: Image Security