Computational Imaging

Computational Imaging jointly designs optics and algorithms. This field of research is inherently interdisciplinary, combining expertise in imaging science, optical engineering, signal processing and machine learning. Computational imaging can overcome physical limitations and achieve novel capabilities, from advancing experimental observation techniques used in biology, to highly novel imaging system methods to atomic force microscopy. Computational Imaging serves a broad range of scientific, defense and security, biomedical, and neuroscience applications.

CIF: Small: Quantization for Acquisition and Computation Networks

Networks of sensors are increasingly important in a variety of applications including national security, environmental monitoring, and health care. These systems should serve their purposes with minimal communication between sensors and minimal computation overhead from coding. In particular, these efficiencies can dramatically improve battery life, and in systems such as those implanted in a body, […]

No Longer Lost in Translation

Just two years ago, American Ryan Rogowski found himself living and working in China building mobile games. He had never spoken Chinese before and learning the language proved to be quite difficult. If only a tool existed that allowed you to look up characters on a phone simply by pointing your camera at the text, […]

ENG Researchers Partner with MIT Lincoln Laboratory on Advanced Imaging

Surveillance video from unmanned aerial vehicles (UAVs) generates a tremendous amount of data, making it difficult for ground controllers to identify and track suspicious activities in short order. But advanced techniques that Professor Venkatesh Saligrama (ECE, SE), in collaboration with a researcher at MIT Lincoln Laboratory, is developing to analyze airborne video imagery could enable […]