Welcome to the Computational Imaging Group (CIG)!
Computational Imaging is a rapidly growing research area at the intersection of image processing, computer vision, physical sciences, and machine learning. Computational Imaging Group (CIG) at Washington University researches new methods for reliable acquisition, efficient processing, and automated analysis of spatiotemporal data. Application include biomedical imaging, material sciences, geospatial intelligence, space exploration, industrial inspection, and consumer electronics. We develop algorithms and theoretical foundations for enabling advanced capabilities in future imaging systems. We have expertise in large-scale optimization, signal and image processing, machine learning, computer vision, and statistical inference. Our research is inherently interdisciplinary and includes collaborations with researchers in optics, medicine, physics, and biology.
To WashU students: If you want to explore research opportunities at CIG go to the list of available projects.
October 2020: New preprint Async-RED: A Provably Convergent Asynchronous Block Parallel Stochastic Method using Deep Denoising Priors.
October 2020: New preprint Deep Image Reconstruction using Unregistered Measurements without Groundtruth.
September 2020: Two papers will be presented at the 54th Asilomar Conference 2020.