Paper
15 September 2021 Image inpainting based on priority values
Jiang Cao, Jingdong Du, Dafang Wang
Author Affiliations +
Proceedings Volume 11915, International Conference on Optics and Image Processing (ICOIP 2021); 119150L (2021) https://doi.org/10.1117/12.2605955
Event: International Conference on Optics and Image Processing (ICOIP 2021), 2021, Guilin, China
Abstract
Image inpainting is a means of inferring the content of the missing information based on the remaining information of the image, and inpainting the missing information, requiring the inpainted image to meet the human eye perception to the greatest extent. The image inpainting method based on the weight function takes arbitrary points for inpainting during inpainting, which results in poor inpainting effect at the junction of objects. Therefore, this paper adds the priority values calculation of inpainting points to improve the inpainting effect. Finally, comparing the inpainted image based on the priority calculation with the previous one, the inpainting effect at the boundary of the object is significantly better than the image inpainting method based solely on the weight functions.
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jiang Cao, Jingdong Du, and Dafang Wang "Image inpainting based on priority values", Proc. SPIE 11915, International Conference on Optics and Image Processing (ICOIP 2021), 119150L (15 September 2021); https://doi.org/10.1117/12.2605955
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KEYWORDS
Digital image processing

Data modeling

Image analysis

Image quality

Partial differential equations

Diffusion

Eye

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