New signal processing theories, models, and algorithms are needed to address the growing demand for new imaging capabilities that exceed physical limits or constraints. The Virginia Imaging Theory and Algorithms Laboratory studied new image and measurement models and combined these learned models with new, computationally efficient algorithms suitable for practical use. These efforts aimed toward a future where computational imaging allows us to observe the presently unobservable. Doctors would be able to study and diagnose diseases in living subjects at greater levels of detail, revealing new insights and improving accuracy. Microscopes would be able to locate and track molecules and cells in three dimensions with unprecedented precision.
In December 2020, Daniel Weller has left the University of Virginia. To learn more about research going on at UVA, please visit the Electrical and Computer Engineering website.