We present a method for combining multiple images of a common object assuming two-dimensional (2D) affine transformations between the image sampling grids. Our method is based upon the projection-onto-convex-sets approach of Yeh and Stark [J. Opt. Soc. Am. A <b>7</b>, 491 (1990)]. Each image frame constitutes a single projection in our approach. We derive a frame projection algorithm under the 2D affine transform assumption that uses one-dimensional fast Fourier transform operations. We demonstrate that all the parameters required for successful image fusion can be estimated with sufficient accuracy from the image data proper. Four 64 × 64-pixel images taken by the Galileo Orbiter spacecraft of the asteroid Gaspra were fused to produce a result with twice the sampling rate and significantly improved spatial resolution. The total processing time was 55 s on a single-processor workstation.
© 1998 Optical Society of America
(100.3020) Image processing : Image reconstruction-restoration
Douglas Granrath and James Lersch, "Fusion of images on affine sampling grids," J. Opt. Soc. Am. A 15, 791-801 (1998)