Neuromorphic Computational Imaging 

Supervisors

Dr Nimrod Kruger & Prof Paul Hurley

Description

Considering common imaging methods, optical elements are used to project a scene onto a sensor, which then records this projection as an image we are familiar with. Alternatively, computational imaging techniques take the approach of processing data collected from unique non-imaging optical systems, often by utilising the Fourier optics approach, to extract new information for various tasks. Like with computational imaging, neuromorphic (event-based) sensing has also refreshed the way scientists and engineers process the data recorded by the sensor. This refreshed view begs us to explore the combination of event-based sensing with computational imaging paradigms.

This project will search the space of Fourier optics and computational imaging with event-based sensing to uncover novel real-time sensing modalities in microscopy, inspection, and computer vision.

Eligibility Criteria

Background in Mathematics, Physics, or Electrical Engineering.