| Issue |
E3S Web Conf.
Volume 472, 2024
International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2023)
|
|
|---|---|---|
| Article Number | 02010 | |
| Number of page(s) | 12 | |
| Section | Green Computing | |
| DOI | https://doi.org/10.1051/e3sconf/202447202010 | |
| Published online | 05 January 2024 | |
Development of Image Inpainting for object removal using Enhanced Patch Priority and Matching Measures
1,4,5 CVR College of Engineering, Hyderabad
2 Sphoorthy Engineering College, Hyderabad
3 Vallurupalli Nageswara Rao Vignana Jyothi Institute of Engineering and Technology, Hyderabad
* Corresponding Author: janardhan.bitra@gmail.com
Image inpainting can be used to fix broken images and get rid of distracting elements. In exemplar based methods, patch priority computation and exemplar patch selection are crucial to the success of image inpainting technique. The dropping effect occurred in the highest patch priority computation and matching error in the best patch selection are the major issues in the exemplar inpaint methods. In this paper, the enhanced priority calculation technique is employed to avoid the dropping effect and introduced the new similarity measuring process, Mean Squared Error (MSD). The efficacy of the proposed techniques is estimated by comparing with the available methods in the literature qualitatively. It shows that proposed methods outperformed existing techniques.
Key words: Image Inpainting / Patch Priority / MSD / dropping effect / and matching error
© The Authors, published by EDP Sciences, 2024
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