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

November 2018: Our manuscript “Plug-In Stochastic Gradient Method” was accepted to BASP 2019.

November 2018: New preprint Regularized Fourier Ptychography using an Online Plug-and-Play Algorithm.

October 2018: New preprint Image Restoration using Total Variation Regularized Deep Image Prior.

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