Campuses:

computational imaging

Friday, October 18, 2019 - 9:05am - 9:50am
Mujdat Cetin (University of Rochester)
We present synthetic aperture radar (SAR) as a computational imaging modality, emphasizing aspects of radar that differentiate it from other imaging problems. In this context, we present samples of work resulting from two related lines of inquiry in our group: (1) sparsity-driven radar imaging, and (2) machine learning for radar imaging.
Monday, October 14, 2019 - 10:00am - 10:45am
Vivek Goyal (Boston University)
Single-photon lidar systems form range and reflectivity images using detectors with single-photon sensitivity. Some focused ion beam (FIB) and electron microscopy systems use direct detection of secondary electrons to maximize resolution. This talk will discuss recent results on the interpretation of single-photon and single-electron data that yield improved mitigation of detector dead time and a principle for dose reduction in FIB microscopy with no degradation of image quality.
Tuesday, October 15, 2019 - 9:50am - 10:35am
Katie Bouman (California Institute of Technology)
This talk will present the methods and procedures used to produce the first image of a black hole from the computational Event Horizon Telescope. It has been theorized for decades that a black hole will leave a shadow on a background of hot gas. Taking a picture of this black hole shadow could help to address a number of important scientific questions, both on the nature of black holes and the validity of general relativity. Unfortunately, due to its small size, traditional imaging approaches require an Earth-sized radio telescope.
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