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 biomedical and industrial 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 leverage the advances in optimization, machine learning, and statistical inference to design 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.
December 2017: Prof. Kamilov is a recipient of IEEE Signal Processing Society Best Paper Award 2017 for the work on message-passing de-quantization, co-authored by Prof. Vivek Goyal and Prof. Sundeep Rangan. The award will be delivered during IEEE ICASSP 2018 in Calgary, Canada.
November 2017: Yu Sun joins CIG as a PhD student starting from January 2018. Welcome!
October 2017: Our manuscript SEAGLE: Sparsity-Driven Image Reconstruction under Multiple Scattering was accepted to IEEE Transactions on Computational Imaging.