Improved interpolation with sub-pixel relocation method for strong barrel distortion

doi:10.1016/j.sigpro.2022.108795

CORC > 自动化研究所 > 中国科学院自动化研究所 > 多模态人工智能系统全国重点实验室

	Improved interpolation with sub-pixel relocation method for strong barrel distortion
	Xuan, Yuwen 2; Zhang, Silong 2; Chen, Long 1; Zhang, Hui 2
刊名	SIGNAL PROCESSING
	2023-02-01
卷号	203 页码:9
关键词	Fisheye image correction Interpolation Voronoi diagram Sub-pixel
ISSN号	0165-1684
DOI	10.1016/j.sigpro.2022.108795
通讯作者	Xuan, Yuwen(BY1913026@buaa.edu.cn)
英文摘要	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.
资助项目	National Key Research and Development Pro-gram of China[2018YFE0206900]
WOS研究方向	Engineering
语种	英语
出版者	ELSEVIER
WOS记录号	WOS:000992223800001
资助机构	National Key Research and Development Pro-gram of China
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/53344]
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.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Beihang Univ, Sch Transportat Sci & Engn, Beijing 102206, 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.