An Exploration of Digital Image Inpainting Techniques
Liji R F1, M. Sasikumar2
1Ms. Liji R. F., Department of Electronics and Communication Engineering, John Cox Memorial CSI Institute of Technology, Thiruvananthapuram, Kerala, India.
2Dr. M. Sasikumar, Department of Electronics and Communication Engineering, Marian Engineering College, Thiruvananthapuram, Kerala, India.
Manuscript received on 18 December 2018 | Revised Manuscript received on 27 December 2018 | Manuscript published on 30 December 2018 | PP: 135-138 | Volume-8 Issue-2, December 2018 | Retrieval Number: B5564128218/18©BEIESP
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© 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: This paper gives an overview of different digital Image Inpainting techniques used contemporarily for image restoration and enhancement process. Inpainting, dis-occlusion, image completion, retouching and filling-in are different terms for the same task: if an image is given with a missing section, the values in the missing area has to be restored by its values in an undetectable way. The patches are filled in from the neighbouring pixels. Inpainting can be used for removal of objects from an image also. Inapainting techniques are made more sophisticated by applying Neural Network and Fuzzy logic for fast and accurate filling of patches.
Keywords: Image Inpainting, Partial Differential Equation, Curvature Driven Diffusion, Examplar- Based, MAP, SOM
Scope of the Article: Image Security