MATEC Web Conf.
Volume 355, 20222021 International Conference on Physics, Computing and Mathematical (ICPCM2021)
|Number of page(s)||7|
|Section||Computing Methods and Computer Application|
|Published online||12 January 2022|
Improved image inpainting exemplar-based algorithms by boundary priori-knowledge
School of Automation Science and Engineering South China University of Technology, Guangzhou, China
* Corresponding author: email@example.com
Image inpainting plays an important role in restoration of cultural relics, pictures beautification. Criminisi algorithm creates good results in large-area inpainting. However, it does still have some deficiencies such as over-extending. In this paper, two improved algorithms based on prior knowledge of the boundary had been proposed by simulating the idea of manual repairing. An algorithm, by simulating the strategy that the next inpainted pixel will be near to the prior one, named nearer neighbor first algorithm, can void the random bounding of the to-be-inpainted pixle. Another algorithm, by simulating the strategy that the inpainting process, named no-inpainted first algorithm, will be in multiple directions, can void the inpainting process in a single direction. The results reveal that the neighborhood-first algorithm performs better than Criminsi algorithm in repairing the missing structure while the unrepaired-first algorithm performs better than Criminsi algorithm in repairing the missing texture.
Key words: Image inpainting / Exemplar-Based / Fill-front / Priori-Knowledge
© The Authors, published by EDP Sciences, 2022
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