Application of superresolution algorithm to optical coherent imaging

James R. Fienup; Michael R. Kosek; Herbert C. Stankwitz

doi:10.1117/12.255091

25 October 1996 Application of superresolution algorithm to optical coherent imaging

James R. Fienup, Michael R. Kosek, Herbert C. Stankwitz

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Proceedings Volume 2827, Digital Image Recovery and Synthesis III; (1996) https://doi.org/10.1117/12.255091
Event: SPIE's 1996 International Symposium on Optical Science, Engineering, and Instrumentation, 1996, Denver, CO, United States

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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