Image Inpainting Based on Structural Tensor Edge Intensity Model
文献类型:期刊论文
作者 | Jing Wang, Yan-Hong Zhou, Hai-Feng Sima, Zhan-Qiang Huo, Ai-Zhong Mi |
刊名 | International Journal of Automation and Computing
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出版日期 | 2021 |
卷号 | 18期号:2页码:256-265 |
关键词 | Exemplar-based technique image inpainting structural tensor edge intensity model structure propagation balance operator |
ISSN号 | 1476-8186 |
DOI | 10.1007/s11633-020-1256-x |
英文摘要 | In the exemplar-based image inpainting approach, there are usually two major problems: the unreasonable calculation of priority and only considering the color features in the patch lookup strategy. In this paper, we propose an image inpainting approach based on the structural tensor edge intensity model. First, we use the progressive scanning inpainting method to avoid the image filling order being affected by the priority function. Then, we use the edge intensity model to build the patches similarity function for correctly identifying the local image structure. Finally, the balance operator is used to restrict the excessive propagation of structural information to ensure the correct structural reconstruction. The experimental results show that the our approach is comparable and even superior to some state-of-the-art inpainting algorithms. |
源URL | [http://ir.ia.ac.cn/handle/173211/44020] ![]() |
专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
作者单位 | College of Computer Science and Technology, Henan Polytechnic University, Jiaozuo 454003, China |
推荐引用方式 GB/T 7714 | Jing Wang, Yan-Hong Zhou, Hai-Feng Sima, Zhan-Qiang Huo, Ai-Zhong Mi. Image Inpainting Based on Structural Tensor Edge Intensity Model[J]. International Journal of Automation and Computing,2021,18(2):256-265. |
APA | Jing Wang, Yan-Hong Zhou, Hai-Feng Sima, Zhan-Qiang Huo, Ai-Zhong Mi.(2021).Image Inpainting Based on Structural Tensor Edge Intensity Model.International Journal of Automation and Computing,18(2),256-265. |
MLA | Jing Wang, Yan-Hong Zhou, Hai-Feng Sima, Zhan-Qiang Huo, Ai-Zhong Mi."Image Inpainting Based on Structural Tensor Edge Intensity Model".International Journal of Automation and Computing 18.2(2021):256-265. |
入库方式: OAI收割
来源:自动化研究所
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