Welcome to the Computational Imaging Group!

The Computational Imaging Group (CIG) at Washington University develops advanced algorithms and mathematical tools for computational imaging. We have expertise in large-scale optimization, machine learning, signal and image processing, and statistical inference. We use our know-how to address problems in image reconstruction, restoration, registration, and analysis, for 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, our goal is 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.



[CIG-2018]

Latest News

May 2019: “Holographic particle localization under multiple scattering” was accepted to SPIE Advanced Photonics.

May 2019: New preprint Block Coordinate Regularization by Denoising.

May 2019: Xiaojian got an offer to join MERL this summer as an intern. Congratulations!

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