High accuracy sub-pixel global motion estimation based on upsampled gradient cross-correlation algorithm
高精度亚像素全局运动估计的上采样梯度互相关算法

Motion estimation is significant in the applications of video image compression, super-resolution reconstruction, mosaic, and target detection, and so on. In this letter, we present an improved algorithm for the problem of highly accurate sub-pixel global motion estimation, which introduces an optimal filter for computing image gradient, and also adopts the method of combining upsampling with paraboloid fitting gradient cross-correlation. Experimental results show that the proposed algorithm can not only achieve good robustness to the influence of noise, but can also improve the accuracy of motion estimation significantly.