I am a Computational Imaging Scientist in the Cyber Resilience and Intelligence Division at Oak Ridge National Laboratory. At ORNL, I have worked on problems in synthetic aperture radar, satellite imagery, and biometrics. Generally, my research interests include developing novel imaging systems, optimization, artificial intelligence, and computational imaging.
Prior to joining ORNL, I received a B.S. in Mathematics from West Virginia University and a Ph.D. in Mathematics from Purdue University while working in the Lidar Technology Branch of the Air Force Research Laboratory.
@techreport{osti_2588947,author={Allen, Tony G. and Duba-Sullivan, Haley and Reid, Emma J.},title={Illuminating the Night: A Survey of Super-Resolution Methods for Nighttime Light Images},institution={Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)},annote={Nighttime Light (NTL) images provide critical insights into urbanization, disaster response, and energy consumption. The VIIRS Day/Night Band (DNB) sensor offers high-quality NTL imagery with daily revisit rates, but the available spatial resolution hinders fine-grained accurate analysis. Super-resolution techniques aim to increase the resolution of NTL images, enabling more detailed assessments of infrastructure, light pollution, economic activity, and power outages. However, existing state-of-the-art super-resolution methods designed for natural images struggle with the unique characteristics of NTL data. This work provides a comprehensive review of super-resolution methods across multiple image modalities, evaluates their effectiveness on VI-IRS DNB data, and proposes a multi-modal super-resolution approach tailored to NTL imagery. The proposed approach integrates VIIRS DNB data with road networks and land use information to improve reconstruction accuracy and spatial detail. Code is available for this project at https://code.ornl.gov/viirs-sr/sr-demos.},doi={10.2172/2588947},url={https://www.osti.gov/biblio/2588947},place={United States},year={2025},month=apr,}
CLAMP: Majorized Plug-and-Play for Coherent 3D Lidar Imaging
Tony G. Allen, David J. Rabb, Gregery T. Buzzard, and 1 more author
IEEE Transactions on Computational Imaging, Mar 2025
@article{10910239,author={Allen, Tony G. and Rabb, David J. and Buzzard, Gregery T. and Bouman, Charles A.},journal={IEEE Transactions on Computational Imaging},title={CLAMP: Majorized Plug-and-Play for Coherent 3D Lidar Imaging},month=mar,year={2025},volume={11},number={},pages={506-519},keywords={Three-dimensional displays;Laser radar;Imaging;Image reconstruction;Apertures;Speckle;Clamps;Discrete Fourier transforms;Pupils;Chirp;Coherent imaging;consensus equilibrium;deep neural networks;lidar;majorization-minimization;plug-and-play},doi={10.1109/TCI.2025.3548468},}
