High-Accuracy Sub-Pixel Registration for Noisy Images Based on Phase Correlation

Bei HE  Guijin WANG  Xinggang LIN  Chenbo SHI  Chunxiao LIU  

IEICE TRANSACTIONS on Information and Systems   Vol.E94-D   No.12   pp.2541-2544
Publication Date: 2011/12/01
Online ISSN: 1745-1361
DOI: 10.1587/transinf.E94.D.2541
Print ISSN: 0916-8532
Type of Manuscript: LETTER
Category: Image Processing and Video Processing
phase correlation,  sub-pixel,  edge-preserving filter,  confidence-weighted optimization,  

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This paper proposes a high-accuracy sub-pixel registration framework based on phase correlation for noisy images. First we introduce a denoising module, where the edge-preserving filter is adopted. This strategy not only filters off the noise but also preserves most of the original image signal. A confidence-weighted optimization module is then proposed to fit the linear phase plane discriminately and to achieve sub-pixel shifts. Experiments demonstrate the effectiveness of the combination of our modules and improvements of the accuracy and robustness against noise compared to other sub-pixel phase correlation methods in the Fourier domain.