Computational Imaging
Physics-aware inverse methods, compressive and coded sensing, and learning-based reconstruction for next-generation imaging systems.
Overview
The group designs imaging systems end-to-end, jointly optimizing the optical coding (apertures, illumination patterns, and filter arrays) together with the computational reconstruction that follows. This co-design lets a physically simple sensor capture far more information than a conventional camera of the same size and cost.
Recent work spans compressive X-ray computed tomography and Compton backscattering, snapshot hyperspectral and spectral-video imaging, and deep unfolding networks that embed the physics of the forward model directly into the reconstruction.