25 October 1996 Application of superresolution algorithm to optical coherent imaging
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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.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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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