Subpixel image registration algorithm based on pyramid phase correlation and upsampling

doi:10.1007/s11760-022-02158-7

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	Subpixel image registration algorithm based on pyramid phase correlation and upsampling
	T. C. Li; J. L. Wang and K. N. Yao
	2022
发表期刊	Signal Image and Video Processing
ISSN	1863-1703
卷号	16 期号:7 页码:1973-1979
摘要	A fast subpixel image registration method is proposed in this paper. The implementation of this method is divided into two steps: coarse registration and fine registration. In the coarse registration stage, we propose a strategy to combine image pyramid with phase correlation; in the fine registration stage, we propose a strategy to perform local upsampling in the frequency domain through matrix multiplication. We compared our algorithm with traditional-feature-based and direct methods, as well as unsupervised learning algorithms. Our empirical results show that compared with traditional methods, our method achieves faster speed, while maintaining equivalent or better accuracy and robustness. In addition, compared with unsupervised learning algorithms, our method can be applied to real-time systems with higher speed requirements, better performance for cases with less overlapping regions, and better robustness to noise.
DOI	10.1007/s11760-022-02158-7
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收录类别	sci ; ei
语种	英语
引用统计
文献类型	期刊论文
条目标识符	http://ir.ciomp.ac.cn/handle/181722/67127
专题	中国科学院长春光学精密机械与物理研究所
推荐引用方式 GB/T 7714	T. C. Li,J. L. Wang and K. N. Yao. Subpixel image registration algorithm based on pyramid phase correlation and upsampling[J]. Signal Image and Video Processing,2022,16(7):1973-1979.
APA	T. C. Li,&J. L. Wang and K. N. Yao.(2022).Subpixel image registration algorithm based on pyramid phase correlation and upsampling.Signal Image and Video Processing,16(7),1973-1979.
MLA	T. C. Li,et al."Subpixel image registration algorithm based on pyramid phase correlation and upsampling".Signal Image and Video Processing 16.7(2022):1973-1979.

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