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

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

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