Decoupling Short and Long-Range Blur Estimations for Pulse-Powered Radiography
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97 MATHEMATICS AND COMPUTING↗
Engineering topics
Pillow, Jordan A
Publications and source records attributed to Pillow, Jordan A.
Generalizable Convex Mono-Density Object Reconstruction
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97 MATHEMATICS AND COMPUTING↗
A Spatially Varying Bayesian Approach to Solving Inverse Problems: Applications to Deblurring Cygnus Radiographs
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97 MATHEMATICS AND COMPUTING↗
SDRD Image Data Delivery 1/4
This is a collection of radiographic image data collected at the SEALab test bed at Los Alamos operations.
97 MATHEMATICS AND COMPUTING↗
Fast methods for geometric inference in limited-angle tomography Project #: NLV-019-20 Year 3 of 3
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Breckling, Sean R↗
Uncertainty Quantification for Point Spread Functions in X-Ray Radiography
X-ray radiographers have tools for estimating the point spread function (PSF) which determines the extent of the blur in images. Knowledge of uncertainties in their estimations can be extremely valuable, and existing methods do not provide this information. We have developed a new technique using a Bayesian framework that will provide useful uncertainties to the estimated PSF.
point spread function↗