Sub-Pixel Registration of Noisy Images

The accurate registration of images observed in additive noise is a challenging task. The noise increases the number of misregistered regions, and decreases the accuracy of sub-pixel registration. To address this problem, we propose an intensity-based algorithm that performs registration based only on regions that are least affected by noise. We select these regions with a signal-to-noise ratio estimate that is obtained from an initial, less-accurate registration. Our simulations demonstrate that the proposed noise-adaptive scheme significantly outperforms the conventional registration approach