301 citations · 872 across the 44 of their papers we have counts for
51 papers
Deep Pseudo-Proximal Map: A Self-Supervised Data-Fitting Agent for Iterative Reconstruction
Haley Duba-Sullivan, Emma J. Reid, Charles A. Bouman +1
Iterative algorithms for inverse imaging problems split reconstruction into alternating subproblems, one of which requires evaluating the data-fitting proximal map. In many practic…
Outpainting: spatially extending aero-optic phase screens
Jeffrey W. Utley, Gregery T. Buzzard, Charles A. Bouman +1
Aero-optic effects distort light wave propagation near a high-speed aircraft, thereby degrading performance in airborne imaging and communication systems. Measuring aero-optic data…
ReVAR: A Data-Driven Algorithm for Generating Aero-Optic Phase Screens
Jeffrey W. Utley, Gregery T. Buzzard, Charles A. Bouman +1
The propagation of light through a turbulent flow field around an aircraft results in optical distortions commonly known as aero-optic effects. The development of methods to mitiga…
WindDensity-MBIR: Model-Based Iterative Reconstruction for Wind Tunnel 3D Density Estimation
Karl J. Weisenburger, Gregery T. Buzzard, Charles A. Bouman +1
Experimentalists often use wind tunnels to study aerodynamic turbulence, but most wind tunnel imaging techniques are limited in their ability to take non-invasive 3D density measur…
Boiling flow parameter estimation from boundary layer data
Jeffrey W. Utley, Gregery T. Buzzard, Charles A. Bouman +1
Atmospheric turbulence and aero-optic effects cause phase aberrations in propagating light waves, thereby reducing effectiveness in transmitting and receiving coherent light from a…
Boiling flow estimation for aero-optic phase screen generation
Jeffrey W. Utley, Gregery T. Buzzard, Charles A. Bouman +1
Aero-optic effects due to turbulence can reduce the effectiveness of transmitting light waves to a distant target. Methods to compensate for turbulence typically rely on realistic…