Image registration determines the relative orientation between two or more images.
Analysis of such data requires accurate and fast registration. This talk describes a fast wavelet-based algorithm for parallel image registration. Performance of the algorithm is analyzed and experimentally evaluated on different high-performance computer architectures, for NASA Earth Science Imagery. It will be shown that the technique provides substantial computational savings and exhibits desirable features for parallel implementations, such as in load-balancing. Furthermore, the experimental measurements will reveal important architectural characteristics of contemporary high-performance computers.