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	High Accuracy Sub-Pixel Image Registration under Noisy Condition
	Song, Qiang ; Xiong, Ruiqin ; Ma, Siwei ; Fang, Xiaopeng ; Gao, Wen
	2015
关键词	Noisy image registration phase difference plane weighted least squares distribution of the phase change DOMAIN
英文摘要	Image registration plays an important role in many image processing applications. A key problem is that the accuracy of registration can be severely affected by noise. This paper presents a sub-pixel registration method for noisy images. In particular, we investigate how to estimate transitional shift to a high precision using the noisy phase data in frequency domain. Based on theoretical analysis, we find that the noise-caused phase change for every frequency component of high signal-to-noise ratio (SNR) can be well approximated by a Gaussian distribution. Furthermore, we show that the reliability of phase data can also be measured by the SNR of corresponding frequency component. A noise-robust registration framework is proposed to utilize high-SNR frequency components adaptively, while masking out the components of SNR lower than a threshold. Experiments demonstrate that the proposed method is superior to existing image registration methods in the presence of noise.; EI; CPCI-S(ISTP); songqiang@pku.edu.cn; rqxiong@pku.edu.cn; swma@pku.edu.cn; fxp@hit.edu.cn; wgao@pku.edu.cn; 1674-1677; 2015-July
语种	中文
出处	2015 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS)
DOI标识	10.1109/ISCAS.2015.7168973
内容类型	其他
源URL	[http://ir.pku.edu.cn/handle/20.500.11897/423439]
专题	信息科学技术学院
推荐引用方式 GB/T 7714	Song, Qiang,Xiong, Ruiqin,Ma, Siwei,et al. High Accuracy Sub-Pixel Image Registration under Noisy Condition. 2015-01-01.

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