## Fusion of images on affine sampling grids

JOSA A, Vol. 15, Issue 4, pp. 791-801 (1998)

http://dx.doi.org/10.1364/JOSAA.15.000791

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### Abstract

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

**OCIS Codes**

(100.3020) Image processing : Image reconstruction-restoration

**Citation**

Douglas Granrath and James Lersch, "Fusion of images on affine sampling grids," J. Opt. Soc. Am. A **15**, 791-801 (1998)

http://www.opticsinfobase.org/josaa/abstract.cfm?URI=josaa-15-4-791

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