Welcome to the Computational Imaging Group (CIG)!

Computational Imaging is a rapidly growing research area at the intersection of image processing, computer vision, physical sciences, and machine learning. Computational Imaging Group (CIG) at Washington University researches new methods for reliable acquisition, efficient processing, and automated analysis of spatiotemporal data. Application include biomedical imaging, material sciences, geospatial intelligence, space exploration, industrial inspection, and consumer electronics. We develop algorithms and theoretical foundations for enabling advanced capabilities in future imaging systems. We have expertise in large-scale optimization, signal and image processing, machine learning, computer vision, and statistical inference. Our research is inherently interdisciplinary and includes collaborations with researchers in optics, medicine, physics, and biology.

WashU students interested doing research at CIG: See available projects.
International undergraduate students interested in an internship at CIG: See International Student Research Internship Program.



[CIG-2019][CIG-2018]

Latest News

January 2021: Ulugbek receives the NSF CAREER Award.

January 2020: Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors was accepted to ICLR 2021 as a spotlight.

January 2021: Deep Image Reconstruction using Unregistered Measurements without Groundtruth was accepted to IEEE ISBI 2021.

December 2020: Ulugbek was appointed as an Associate Editor of Biological Imaging, a new journal published by the Cambridge University Press.

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