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Proceedings Paper

Application of superresolution algorithm to optical coherent imaging
Author(s): James R. Fienup; Michael R. Kosek; Herbert C. Stankwitz
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Paper Abstract

The Super-SVA algorithm has been shown effective for improving the resolution of microwave synthetic-aperture radar (SAR) images. In this paper we review the Super-SVA algorithm and demonstrate its application to optical imaging systems using coherent laser illumination. Examples of such imaging systems include heterodyne-array imaging, holographic laser radar, laser synthetic-aperture radar, coherent phase retrieval from pupil-plane intensities, and SCIP (sheared-beam imaging). We consider the case of a bright object on a dark background. We show the difference in performance for different features of the image -- prominent points versus extended, diffuse areas.

Paper Details

Date Published: 25 October 1996
PDF: 8 pages
Proc. SPIE 2827, Digital Image Recovery and Synthesis III, (25 October 1996); doi: 10.1117/12.255091
Show Author Affiliations
James R. Fienup, Environmental Research Institute of Michigan (United States)
Michael R. Kosek, Environmental Research Institute of Michigan (United States)
Herbert C. Stankwitz, Environmental Research Institute of Michigan (United States)


Published in SPIE Proceedings Vol. 2827:
Digital Image Recovery and Synthesis III
Paul S. Idell; Timothy J. Schulz, Editor(s)

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