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    CIMAGING
    2008
    142views Hardware» more  CIMAGING 2008»
    Greedy signal recovery and uncertainty principles
    13 years 7 months ago
    Greedy signal recovery and uncertainty principles
    Download  www-personal.umich.edu
    This paper seeks to bridge the two major algorithmic approaches to sparse signal recovery from an incomplete set of linear measurements
    Deanna Needell, Roman Vershynin
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    CIMAGING
    2010
    165views Hardware» more  CIMAGING 2010»
    Implementation and evaluation of a penalized alternating minimization algorithm for computational DIC microscopy
    13 years 6 months ago
    Implementation and evaluation of a penalized alternating minimization algorithm for computational DIC microscopy
    Download  cirl.memphis.edu
    We present the implementation and evaluation of a penalized alternating minimization (AM) method1 for the computation of a specimen's complex transmittance function (magnitud...
    Chrysanthe Preza, Joseph A. O'Sullivan
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    CIMAGING
    2008
    122views Hardware» more  CIMAGING 2008»
    Online consistency checking for AM-FM target tracks
    13 years 7 months ago
    Online consistency checking for AM-FM target tracks
    Download  hotnsour.ou.edu
    We compute AM-FM models for infrared video frames depicting military targets immersed in structured clutter backgrounds. We show that independent correlation based detection proce...
    Nick A. Mould, Chuong T. Nguyen, Colin M. Johnston...
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    CIMAGING
    2009
    274views Hardware» more  CIMAGING 2009»
    Image zooming with contour stencils
    13 years 7 months ago
    Image zooming with contour stencils
    Download  www.math.ucla.edu
    We introduce "contour stencils" as a simple method for detecting the local orientation of image contours and apply this detection to image zooming. Our approach is motiv...
    Pascal Getreuer
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    CIMAGING
    2009
    153views Hardware» more  CIMAGING 2009»
    Dictionaries for sparse representation and recovery of reflectances
    13 years 7 months ago
    Dictionaries for sparse representation and recovery of reflectances
    Download  white.stanford.edu
    The surface reflectance function of many common materials varies slowly over the visible wavelength range. For this reason, linear models with a small number of bases (5-8) are fr...
    Steven Lansel, Manu Parmar, Brian A. Wandell
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