Abstract
Quantitative X-ray radiographic imaging systems that utilize a charged couple device (CCD) camera connected to a thick, monolithic scintillator can exhibit blur that varies spatially across the field of view, especially for thick scintillators used in pulse-power radiography of dynamically compressed objects. A three-point approach to estimating and accounting for this effect is demonstrated by (a) using a local estimation technique to measure the effect of blurring a calibration object at key locations across the field of view, (b) combining each of the local estimates into a spatially varying blurring function via partitions of unity interpolation, and (c) resolving the effects of that blur on the image by solving an ill-posed inverse problem using a spatially varying regularization term. The technique is demonstrated on synthetic examples and actual radiographs collected at the Naval Research Laboratory's (NRL) Mercury pulsed power facility.
Original language | English (US) |
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Pages (from-to) | 583-595 |
Number of pages | 13 |
Journal | Statistical Analysis and Data Mining |
Volume | 14 |
Issue number | 6 |
DOIs | |
State | Published - Dec 2021 |
Keywords
- Bayesian
- X-ray radiography
- inverse problem
- partition of unity
- spatially varying blur
ASJC Scopus subject areas
- Analysis
- Information Systems
- Computer Science Applications