Abstract
Image registration plays a vital role in many real time imaging applications. Registering the images in a precise manner is a challenging problem. In this paper, we focus on improving image registration error computation using the projection onto convex sets (POCS) techniques which improves the sub-pixel accuracy in the images leading to better estimates for the registration error. This can be used in turn to improve the registration itself. The results obtained from the proposed technique match well with the ground truth which validates the accuracy of this technique. Furthermore, the proposed technique shows better performance compared to existing methods.