Invariant-based registration of rotated and blurred images

Image registration is a classical problem in remotely sensed image analysis. In this paper, attention is paid to control point matching for the case when the images are blurred and rotated compared to one another. The matching is performed by means of a new class of moment invariants, which are calculated over the neighborhood of each candidate. The proposed invariants are invariant not only to rotation and translation but also to image blurring by any symmetric point spread function. Thanks to this, the authors can register blurred images directly without any de-blurring.