25 October 1996 Application of superresolution algorithm to optical coherent imaging
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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.
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James R. Fienup, James R. Fienup, Michael R. Kosek, Michael R. Kosek, Herbert C. Stankwitz, Herbert C. Stankwitz, } "Application of superresolution algorithm to optical coherent imaging", Proc. SPIE 2827, Digital Image Recovery and Synthesis III, (25 October 1996); doi: 10.1117/12.255091; https://doi.org/10.1117/12.255091
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