Phase-based Motion Estimation for Noisy Sequences

This paper presents a novel approach for estimating affine motion in noisy image sequences. It exploits Fourier phase information by comparing the averaging of a group of frames and the convolution of the reference one with a Dirac comb function. A study of the estimation error in case of Gaussian noise is also offered. The proposed approach outperforms available techniques in terms of quality and computational effort.