COMPUTATIONAL IMAGING

Our lab focuses on solving hard and challenging problems in imaging and vision by co-designing sensors, optics, electronics, signal processing, and machine learning algorithms. This emerging area of research is called computational imaging or more generally computational sensing. Our group is generally application-agnostic and focuses on developing foundational theories, tools, techniques, and systems... CoIR is an analysis by synthesis method that leverages the implicit neural network bias in convolutional decoders and compressed sensing to perform high accuracy radar imaging. We introduce a sparse array design that allows for a 5.5x reduction in the number of antenna elements needed compared to conventional MIMO array designs. We demonstrate our system's improved imaging performance over standard mmWave radars and other competitive untrained methods on both simulated and experimental mmWave radar data... We show that lensless imaging of tissue in vivo can be achieved via an optical..