Welcome to the Computational Imaging Group!

The Computational Imaging Group (CIG) at Washington University pursues develops advanced algorithms and mathematical tools for computational imaging. We are interested in image reconstruction, restoration, registration, and analysis, with applications to various imaging modalities including optical microscopy, magnetic resonance imaging, computerized tomography, and many others.

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 for enabling new imaging capabilities. Specifically, we advance optimization, machine learning, and statistical inference to enable 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.


Latest News

February 2019: Three publications accepted to ICASSP 2019 in Brighton, UK.

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.

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