MATH Seminar

Title: Mathematical Models and Numerical Methods for Wavefront Reconstruction
Defense: Dissertation
Speaker: Qing Chu of Emory University
Contact: Qing Chu, chu@emory.edu
Date: 2013-08-27 at 11:00AM
Venue: MSC W301
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Abstract: Obtaining high resolution images of space objects from ground based telescopes is challenging, and often requires computational post processing methods to remove blur caused by atmospheric turbulence. In order for an image deblurring (deconvolution) algorithm to be effective, it is important to have a good approximation of the blurring operator. In space imaging, the blurring operator is defined in terms of the wavefront of light, and how it is distorted as it propagates through the atmosphere.\\ \\ In this thesis we consider new mathematical models and algorithms to reconstruct the wavefront, which requires solving a large scale ill-posed inverse problem. We show that by exploiting and fusing information from multiple measurements, we are able to obtain better reconstructed wavefronts than existing methods. In addition, we present results of a parallel implementation utilizing the Trilinos project.