Phase correlation using shear average for image registration

Correlation of images is a common step in image registration algorithms. Therefore it is important that the correlation step be efficient and accurate. This paper introduces the `shear average' method for computing the relative translation between two similar images. We demonstrate that the proposed technique performance is comparable to traditional phase-correlation based techniques, while also being more numerically efficient.