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1 October 1998 Superresolution techniques with application to guided munitions
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This paper discusses the implementation and evaluation of several different algorithms for image superresolution (SR). Such processing is of interest in many imaging situations where resolution is limited by range, wavelength, aperture size, detector size, or other physical or practical constraints. A relevant example is the application of improved resolution to passive millimeter wave imaging sensors for munitions systems. In this paper, we refer to superresolution as processing which recovers spatial frequency components of a measured image that are completely suppressed by the image formation process. We demonstrate performance of several iterative algorithms, and discuss several aspects of the implementation and evaluation of SR processing.
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David S. Flynn, Breck A. Sieglinger, Bernard P. Asner Jr., Martin F. Wehling, and Sengvieng A. Amphay "Superresolution techniques with application to guided munitions", Proc. SPIE 3460, Applications of Digital Image Processing XXI, (1 October 1998);

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