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.



[CIG-2019][CIG-2018]

Latest News

August 2019: Ulugbek will be speaking at the Los Alamos National Laboratory (LANL) on 15 Aug 2019 in Los Alamos, NM, USA.

August 2019: Ulugbek will be giving a seminar on “Reconciling Model-Based and Data-Adaptive Imaging” at AI Summer Institute of the Oak Ridge National Laboratory (ORNL) on 6 Aug 2019 in Oak Ridge, TN, USA.

July 2019: New preprint A New Recurrent Plug-and-Play Prior Based on the Multiple Self-Similarity Network.

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