Digital Image Stabilization Based on Phase Correlation

In this paper, we present a method for digital image stabilization based on Fourier-Mellin transform and phase correlation. We acquire the rotating angle and scaling factor firstly by phase correlation between Fourier-Mellin transform images of the reference and observed images. After rotating and scaling the observed image, implement the phase correlation again to compute the spacial translation. Because of spectral periodicity, the correlation between Fourier-Mellin transform images will be weaken and maybe lead to wrong result when the rotating angle is close to 90°. So we add a coarse search before phase correlation to avoid this situation. And we use a smooth window to reduce the noise in phase correlation. Furthermore, a coordinate mapping chart is recommended to avoid the unnecessary computation cost during creating log-polar image. The experiment results show the proposed method can acquire accurate motion parameters between two adjacent frames.