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Improved interpolation with sub-pixel relocation method for strong barrel distortion | |
Xuan, Yuwen1; Zhang, Silong1; Chen, Long2; Zhang, Hui1 | |
发表期刊 | SIGNAL PROCESSING |
ISSN | 0165-1684 |
2023-02-01 | |
卷号 | 203页码:9 |
通讯作者 | Xuan, Yuwen(BY1913026@buaa.edu.cn) |
摘要 | In this paper, we propose an improved interpolation method with sub-pixel relocation method to correct fisheye images with strong barrel distortion. The proposed method takes as inputs the fisheye image and the projection model, and outputs the corrected perspective image. In the method, we project the fisheye image pixels to perspective image plane using the backward projection. The projected pixels are treated as scatter data, and their location is refined by the sub-pixel relocation method. The method is designed to aim at the sub-pixel bias phenomenon of the projected pixels. The sub-pixel bias phenomenon is that there is a sub-pixel bias between the projected pixel center point and the center point of the projected pixel. This phenomenon is caused by the uneven distortion of the fisheye image plane, and it will af-fect the accuracy of the interpolation method. The sub-pixel relocation method relocates the projected pixel centers to the centers of the projected pixels. Then the relocated points are meshed by the Voronoi diagram method. The mesh is used to select the neighbors of the interpolation points as natural neigh-bor selection method. The weights of the neighbors are calculated using the inverse distance method. The indexes of the neighbors and their weights are stored in a look-up-table structure for reuse. For each fisheye image, the proposed method can quickly find the neighbors of the interpolation points and the weight of each neighbor through the look-up-table, and the perspective image can be calculated in real-time. Test results illustrate that the proposed method achieves the best accuracy among the tested methods for fisheye images with strong barrel distortion.(c) 2022 Elsevier B.V. All rights reserved. |
关键词 | Fisheye image correction Interpolation Voronoi diagram Sub-pixel |
DOI | 10.1016/j.sigpro.2022.108795 |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Key Research and Development Pro-gram of China[2018YFE0206900] |
项目资助者 | National Key Research and Development Pro-gram of China |
WOS研究方向 | Engineering |
WOS类目 | Engineering, Electrical & Electronic |
WOS记录号 | WOS:000992223800001 |
出版者 | ELSEVIER |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/53345 |
专题 | 多模态人工智能系统全国重点实验室 |
通讯作者 | Xuan, Yuwen |
作者单位 | 1.Beihang Univ, Sch Transportat Sci & Engn, Beijing 102206, Peoples R China 2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Xuan, Yuwen,Zhang, Silong,Chen, Long,et al. Improved interpolation with sub-pixel relocation method for strong barrel distortion[J]. SIGNAL PROCESSING,2023,203:9. |
APA | Xuan, Yuwen,Zhang, Silong,Chen, Long,&Zhang, Hui.(2023).Improved interpolation with sub-pixel relocation method for strong barrel distortion.SIGNAL PROCESSING,203,9. |
MLA | Xuan, Yuwen,et al."Improved interpolation with sub-pixel relocation method for strong barrel distortion".SIGNAL PROCESSING 203(2023):9. |
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