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.
EAGER: Design and Exploration of Optical Nanoantenna Technology for Advanced IC Testing and Hardware Security
Non-technical: Today’s integrated circuit (IC) chips are used in practically all consumer electronics, as well as in critical defense technologies and municipal support systems such as power and water supply services. To build these chips, state-of-the-art technologies are used that integrate billions of transistors on a single chip. Currently, we do not have the technological […]
CNS:CSR Collaborative Research: Leveraging Intra-chip/Inter-chip Silicon-Photonic Networks for Designing Next-Generation Accelerators
A little over a decade ago, GPUs were fixed-function processors built around a pipeline, dedicated to rendering 3-D graphics. In the past decade, as the potential for GPUs to provide massive compute parallelism became apparent, the software community developed new programming environments (CUDA and OpenCL) to leverage these massively parallel devices. Today, the leading graphics […]
CIF: Small: Low-Light 3D Imaging: From Fundamental Limits to Practical Systems
Forming images with focused, spatially resolved light is an area of rapid innovation due to the growing use of computational methods and the variety of meanings of ?image.? Aside from being photograph-like, an image acquired through optical means could show distances, thicknesses, chemical concentrations, molecular energy transfers and many other properties, depending on the methods […]
IDBR: Type A: Collaborative research: High-speed AFM imaging of dynamics on biopolymers through non-raster scanning
This award by the Instrument Development for Biological Research (IDBR) program in the Division of Biological Infrastructure (BIO Directorate) is co-funded by the Particulate and Multiphase Processes (PMP) program in the Division of Chemical, Bioengineering, Environmental, and Transport Systems (CBET, Engineering Directorate). Non Technical Abstract The primary aim of this project is to create a […]
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, […]
Opening Movements: Your next security ID may be a defining gesture
To the casual passerby, Janusz Konrad seems a bit fanatical about tai chi: standing in his office, waving one arm to and fro, then spreading both arms and bringing them together. Duck inside, however, and you’ll notice he’s not stretching for his health; he’s stretching for a camera, and images on a computer monitor are […]
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 […]