USF’s John Murray-Bruce is developing a mathematical framework to improve how computational systems interpret hard-to-read or incomplete data. The research grew out of the team’s study of shadows. What started as an effort to reconstruct 3D images of obstructed scenes from ordinary photographs of indirect light reflections evolved into a new way of modeling imaging systems.
The team is also focused on developing an X-ray imaging system that works across several miles, rather than a few feet, as current systems do. “It’s an extreme version of shadow-based imaging,” he says. “You send X-rays through an object, and depending on what gets absorbed, you capture shadows at the detector. The problem is, the longer the distance, the weaker and noisier the shadows become.”
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