提出了一种改进的单相限实数Fourier-Mellin 变换(SRFMT)相位校正稳像算法，提高了稳像实时性，解决了因图像局部遮挡而引起的错误估计问题。分析了基于Fourier-Mellin 变换估计抖动图像序列尺度因子、旋转、平移向量引起的计算堵塞，然后利用傅里叶变换共轭对称性，改进实数傅里叶变换，并以查表方式访问wi 因子，提升了计算性能；最后采用统计直方图方法处理块运动向量，通过局部运动向量集中度判定，去除伪全局运动向量。实验结果表明，与未改进的算法相比，采用改进的SRFMT 相位校正稳像算法处理512×512 的灰度图像序列，稳像的实时性提高了42%，满足实时性要求，有效的去除了因局部遮挡而引起的错误估计，鲁棒性进一步增强。

An improved Fourier-Mellin transform algorithm for video stabilization is presented to enhance the real-time performance, and to solve the problem that motion estimation miscalculates when an image is partially occluded. The computation blocking of estimating scale, rotary and translation in jitter image sequence are analyzed. Then, improve the real Fourier transform by using conjugate symmetry of Fourier transform and access the wi by looking up tables. The computational performance is enhanced effectively. At last, the statistics histogram is used to remove pseudo global motion vector by judging concentration degree. The results show that the real-time performance of video stabilization exceeds the existing one 42% when processing 512 pixels×512 pixels gray image sequence, meet real-time requirements.It can efficiently remove estimation miscalculations because of image occluded partially, and further enhance the robustness.