IMI Interdisciplinary Mathematics InstituteCollege of Arts and Sciences

Program

New Frontiers in Imaging and Sensing

February 17 - 22, 2011

Daily: 9:00 AM - 5:00 PM
University of South Carolina
Columbia, SC 29208



Brochure PDF

Workshop Schedule PDF

Day 9am 10am 11am Noon 1pm 2pm 3pm
Thu 02/17 Ronald A. DeVore
Directed Learning in High Dimensions
Kevin Kelly
Applications of Compressive Sensing in Imaging and Spectroscopy Hardware
Emre Ertin
High Resolution Radar Sensing via Compressive Illumination
George Rogers
An Electro-Magnetic Signatures Approach to the Exploitation of Polarimetric Synthetic Aperture Radar Data
Fri 02/18 Peter G. Binev
High Quality Image Formation by Unconventional Data Acquisition in STEM
Doug Blom
Multislice Frozen Phonon HAADF Image Simulations of MoVNbTeO Complex Oxidation Catalyst 'M1'
James Evans
Noise Reduction and Image Restoration Algorithms for Cryogenic Electron Microscopy of Proteins
Bryan Reed
Data Analysis Methods for Dynamic Transmission Electron Microscopy
Sat 02/19 Otmar Scherzer
Variational Methods in Banach Spaces for the Solution of Inverse Problems
Nigel Browning
Quantifying Aberration Corrected Z-contrast Images of Interfaces/Defects
Sun 02/20 Markus Navratil
How to Compare Patches of Electron Micrographs? Adapting Nonlocal Means to Denoising and Super-Resolution Reconstruction of HAADF-STEM Images
Paul M. Voyles
Angular Correlations and New Structure in Bulk Metallic Glass from Coherent Electron Nanodiffraction in the STEM
Mauro Maggioni
Multiscale Geometric Methods for Noisy Point Clouds in High Dimensions
Stanley Osher
New Algorithms in Image Science
Mon 02/21 Jörn Ungermann
3-D Tomographic Reconstruction of Atmospheric Trace Gas Concentrations for Infrared Limb-Imagers
Holger Kohr
Electron Tomography - 3D Imaging of Subcellular Structures
Tue 02/22 Benjamin Berkels
Image Segmentation Based on Learned Discriminative Dictionaries
Philipp Lamby
TV-Regularized Algebraic Reconstruction for Limited-Angle Tomography
Vladimir Temlyakov
Greedy Approximation
Dan Savu
A Basic Concept in Compressive Sensing Applied to a STEM Image Reconstruction Problem
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