Welcome to the Computational Imaging Group!

The Computational Imaging Group (CIG) at Washington University in St. Louis pursues research on the development of advanced algorithms and mathematical tools for computational imaging.

Over the past two decades, there has been a significant paradigm shift in imaging research. Increasingly, researchers are coming to consensus that computation is a cornerstone of future imaging systems. Our research focuses on that aspect of imaging by developing computational methods that enable new imaging capabilities. Specifically, we aim to advance optimization, machine learning, and statistical inference to come up with new models, algorithms, and systems for imaging. Our work is inherently interdisciplinary and has broad applications in biomedical imaging, defense, physical science, and industrial inspection. We extensively collaborate with researchers in optics, medicine, biology, as well as with those working in industry.



[CIG-2018]

Latest News

January 2019: An Online Plug-and-Play Algorithm for Regularized Image Reconstruction was accepted to IEEE Transactions on Computational Imaging.

January 2019: This semester Ulugbek will be teaching Optimization. Xiaojian will be the lead assistant instructor.

December 2018: The video recording of Ulugbek’s plenary at iTWIST 2018 is available online.

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