Signal and image processing research at the Lawrence Livermore National Laboratory

Lawrence Livermore National Laboratory is a large, multidisciplinary institution that conducts fundamental and applied research in the physical sciences. Research programs at the Laboratory run the gamut from theoretical investigations, to modeling and simulation, to validation through experiment. Over the years, the Laboratory has developed a substantial research component in the areas of signal and image processing to support these activities. This paper surveys some of the current research in signal and image processing at the Laboratory. Of necessity, the paper does not delve deeply into any one research area, but an extensive citation list is provided for further study of the topics presented.

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[2]  Lisa Poyneer,et al.  Experimental verification of the frozen flow atmospheric turbulence assumption with use of astronomical adaptive optics telemetry. , 2009, Journal of the Optical Society of America. A, Optics, image science, and vision.

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[7]  Ghaleb Abdulla,et al.  Defect classification using machine learning , 2008, Laser Damage.

[8]  C J Carrano.  "Mtrack 2.0": An ultra-scale tracking algorithm for low-resolution overhead imagery , 2008 .

[9]  Jean-Pierre Véran,et al.  Toward feasible and effective predictive wavefront control for adaptive optics , 2008, Astronomical Telescopes + Instrumentation.

[10]  Daniel J. Schneberk,et al.  X-Ray Digital Radiography and Computed Tomography Characterization of Targets , 2008 .

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[12]  Daren Dillon,et al.  Laboratory demonstration of accurate and efficient nanometer-level wavefront control for extreme adaptive optics. , 2008, Applied optics.

[13]  Daren Dillon,et al.  MEMS adaptive optics for the Gemini Planet Imager: control methods and validation , 2008, SPIE MOEMS-MEMS.

[14]  Lisa Poyneer,et al.  Predictive wavefront control for adaptive optics with arbitrary control loop delays. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[15]  K C Wilhlelmsen,et al.  Automatic Alignment System for the National Ignition Facility , 2007 .

[16]  Judith A. Liebman,et al.  Local area signal-to-noise ratio (LASNR) algorithm for image segmentation , 2007, SPIE Optical Engineering + Applications.

[17]  Jean-Pierre Véran,et al.  Fourier transform wavefront control with adaptive prediction of the atmosphere. , 2007, Journal of the Optical Society of America. A, Optics, image science, and vision.

[18]  David W. Paglieroni,et al.  Matching Flexible Polygons to Fields of Corners Extracted from Images , 2007, ICIAR.

[19]  M Duchaineau,et al.  Toward Fast Computation of Dense Image Correspondence on the GPU , 2007 .

[20]  Daniel J. Schneberk,et al.  As-Built Modeling of Objects for Performance Assessment , 2006, J. Comput. Inf. Sci. Eng..

[21]  Grace A. Clark,et al.  Super-Resolution Algorithms for Ultrasonic Nondestructive Evaluation Imaging , 2006 .

[22]  Carmen J. Carrano.  Mitigating atmospheric effects in high-resolution infrared surveillance imagery with bispectral speckle imaging , 2006, SPIE Optics + Photonics.

[23]  B. Macintosh,et al.  Optimal Fourier control performance and speckle behavior in high-contrast imaging with adaptive optics. , 2006, Optics Express.

[24]  Andrew J. Poggio,et al.  Wideband multichannel time-reversal processing for acoustic communications in highly reverberant environments , 2006 .

[25]  H E Martz,et al.  X-ray Digital Radiography and Computed Tomography of ICF and HEDP Materials, Subassemblies and Targets , 2006 .

[26]  Jean-Pierre Véran,et al.  Wavefront control for the Gemini Planet Imager , 2006, SPIE Astronomical Telescopes + Instrumentation.

[27]  David W. Paglieroni,et al.  Detection of laser optic defects using gradient direction matching , 2006, SPIE LASE.

[28]  James V. Candy,et al.  Detection and Tracking of the Back-Reflection of KDP Images in the Presence or Absence of a Phase Mask , 2005 .

[29]  Andrew J. Poggio,et al.  Multichannel time-reversal processing for acoustic communications in a highly reverberant environment. , 2005, The Journal of the Acoustical Society of America.

[30]  Jean-Pierre Véran,et al.  Optimal modal fourier-transform wavefront control. , 2005, Journal of the Optical Society of America. A, Optics, image science, and vision.

[31]  D. Chambers,et al.  TARGET CHARACTERIZATION USING TIME-REVERSAL SYMMETRY OF WAVE PROPAGATION , 2005 .

[32]  Hilbert space inverse wave imaging in a planar multilayer environment. , 2005, The Journal of the Acoustical Society of America.

[33]  Chandrika Kamath,et al.  Salient points for tracking moving objects in video , 2005, IS&T/SPIE Electronic Imaging.

[34]  Chandrika Kamath,et al.  Robust Background Subtraction with Foreground Validation for Urban Traffic Video , 2005, EURASIP J. Adv. Signal Process..

[35]  Simon E. Labov,et al.  Foundations for Improvements to Passive Detection Systems - Final Report , 2004 .

[36]  James M. Brase,et al.  Adapting high-resolution speckle imaging to moving targets and platforms , 2004, SPIE Defense + Commercial Sensing.

[37]  B. Macintosh,et al.  Spatially filtered wave-front sensor for high-order adaptive optics. , 2004, Journal of the Optical Society of America. A, Optics, image science, and vision.

[38]  Andrew J. Poggio,et al.  Time-reversal processing for an acoustic communications experiment in a highly reverberant environment. , 2004, The Journal of the Acoustical Society of America.

[39]  Randy S. Roberts,et al.  Regression techniques for material identification in hyperspectral data , 2003, SPIE LASE.

[40]  Sean K Lehman,et al.  Transmission mode time-reversal super-resolution imaging. , 2003, The Journal of the Acoustical Society of America.

[41]  Carmen J. Carrano.  Speckle imaging over horizontal paths , 2002, SPIE Optics + Photonics.

[42]  S. Norton,et al.  Radial Reflection Diffraction Tomography Notes , 2002 .

[43]  R.S. Roberts,et al.  Characterization of hyperspectral data using a genetic algorithm , 2000, Conference Record of the Thirty-Fourth Asilomar Conference on Signals, Systems and Computers (Cat. No.00CH37154).

[44]  Stergios Stergiopoulos,et al.  Advanced Signal Processing Handbook: Theory and Implementation for Radar, Sonar, and Medical Imaging Real-Time Systems , 2000 .

[45]  Donald T. Gavel,et al.  Titan: High-Resolution Speckle Images from the Keck Telescope , 1999 .

[46]  J P Fitch,et al.  Speckle imaging of satellites at the U.S. Air Force Maui Optical Station. , 1992, Applied optics.

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