Direction Oriented Block based Inpainting using Morphological Operations
Shyni Shajahan1, R.Mathusoothana S Kumar2, Jacob Vetha Raj3
1Ms. Shyni Shajahan*, Assistant Professor, K R Gouriamma College of Engineering, Kerala.
2R.Mathusoothana S Kumar, Assistant Professor, K R Gouriamma College of Engineering, Kerala.
3Jacob Vetha Raj, Assistant Professor, K R Gouriamma College of Engineering, Kerala.
Manuscript received on September 16, 2019. | Revised Manuscript received on 24 September, 2019. | Manuscript published on October 10, 2019. | PP: 2769-2774 | Volume-8 Issue-12, October 2019. | Retrieval Number: L25651081219/2019©BEIESP | DOI: 10.35940/ijitee.L2565.1081219
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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: Inpainting is one of the wide growing area of image processing. Image inpainting is a technique to reconstruct the restored region using some background information and obtain the results very efficiently and effectively. The basic concept of image inpainting is to replace the unwanted object from the original image and to recover the image using some neighborhood pixels in an undetectable way. In this paper, we introduce an efficient algorithm for image inpainting i.e., Direction Oriented Block-Based using Morphological Operations approach. This algorithm gives better efficiency than the previously proposed algorithm. By this approach, we can inpaint large regions as well as recover small portions in an undetectable way. A more accurate patch will be found out by this proposed approach. The experimental results proved that our proposed work is more computationally efficient and effective compared to previous work.
Keywords: Inpainting, Enhanced, Neighborhood, Priority, Object Removal
Scope of the Article: Image analysis and Processing