Solving sub-pixel image registration problems using phase correlation and Lucas-Kanade optical flow method

Image registration plays a major role in many areas such as remote sensing, astronomy, biomedical imaging, and so on. Our main contribution in this paper is to present a new subpixel image registration that aligns translated of pair images. This algorithm combines well-known phase correlation technique with the differential methods of the optical flow field, especially the Locus-Kanade technique to register images. The experiment results show that our method not only enhances the precision of registration but also reduces time complexity.