Temporally adaptive filtering of noisy image sequences using a robust motion estimation algorithm

A motion-compensated noise suppression algorithm that employs temporally adaptive filtering along motion trajectories is proposed for image sequences. Filtering is performed via linear minimum mean square error (LMMSE) point estimation. Motion trajectories are determined using a recent motion estimation algorithm, which is capable of performing very well at low signal-to-noise ratios (SNRs). The results suggest that the proposed method is far superior to methods that incorporate implicit or explicit motion compensation, especially in cases of low SNR and/or significant interframe motion