@inproceedings{64d32f730a764e47981cd346f8d6b429,
title = "Image inpainting based on priority values",
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.",
keywords = "Image inpainting, priority values, weight functions",
author = "Jiang Cao and Jingdong Du and Dafang Wang",
note = "Publisher Copyright: {\textcopyright} 2021 SPIE.; 2021 International Conference on Optics and Image Processing, ICOIP 2021 ; Conference date: 04-06-2021 Through 06-06-2021",
year = "2021",
doi = "10.1117/12.2605955",
language = "英语",
series = "Proceedings of SPIE - The International Society for Optical Engineering",
publisher = "SPIE",
editor = "Xizheng Ke and Fengxin Cen",
booktitle = "International Conference on Optics and Image Processing, ICOIP 2021",
address = "美国",
}