Abstract: Image registration deals with finding the geometric mapping, which, when applied to a region of interest (ROI) in one image, adjusts it such that it matches as closely as possible a corresponding ROI in a reference image. In this paper we address the application of image registration in the processing of multiple frames of video sequences. We discuss three levels of difficulty in the image registration problem: mathematical, statistical, and structural. Based on this analysis and the understanding of the requirements in our application, we select region-based methods for registering the video images, and describe these methods in detail. We extend the study to subpixel image registration and propose a new and more accurate subpixel registration method based on cross-spectrum interpolation. To demonstrate the performance of these methods, we apply them to the registration of real data. !26
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