@article{c7d4ef21c7114505ab3b742bcf82bea6,
title = "An approach to characterizing spatial aspects of image system blur",
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.",
keywords = "Bayesian, X-ray radiography, inverse problem, partition of unity, spatially varying blur",
author = "Jesse Adams and Jessica Pillow and Kevin Joyce and Michael Brennan and Espa{\~n}ol, {Malena I.} and Matthias Morzfeld and Sean Breckling and Daniel Champion and Eric Clarkson and Ryan Coffee and Amanda Gehring and Margaret Lund and Duane Smalley and Ajanae Williams and Jacob Zier and Daniel Frayer and Marylesa Howard and Eric Machorro",
note = "Funding Information: information Lawrence Livermore National Laboratory, DE-AC52-07NA27344; Los Alamos National Laboratory, LA-UR-20-24323; U.S. Department of Energy, DE-AC02-76SF00515; DE-AC05-76RL0-1830The authors wish to thank Tony Culver and Brian Sobocinski for their help operating the Mercury facility. This manuscript has been authored in part by Mission Support and Test Services, LLC, under Contract No. DE-NA0003624 with the U.S. Department of Energy and supported by the Site-Directed Research and Development Program, U.S. Department of Energy, National Nuclear Security Administration. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid-up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The U.S. Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan (http://energy.gov/downloads/doe-public-access-plan). The views expressed in the article do not necessarily represent the views of the U.S. Department of Energy or the United States Government. DOE/NV/03624-0791. Coffee is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Contract No. DE-AC02-76SF00515 and FWP-100498 within the Accelerator and Detector Research program. This work was supported by the US Department of Energy through the Los Alamos National Laboratory. Los Alamos National Laboratory is operated by Triad National Security, LLC, for the National Nuclear Security Administration of U.S. Department of Energy (Contract No. 89233218CNA000001). LA-UR-20-24323. The work at the U.S. Naval Research Laboratory was supported by the U.S. National Nuclear Security Agency and the U.S. Department of Energy under Interagency Agreement DE-IAA 892331-18-S-NA000014. Distribution A. This research was performed in part at Pacific Northwest National Laboratory (PNNL) using PNNL Institutional Computing. Funding for this work was provided by the Nuclear Process Science Initiative (NPSI), a Laboratory Directed Research and Development Initiative at PNNL which is operated by the Battelle for the US Department of Energy under Contract No DE-AC05-76RL0-1830. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract DE-AC52-07NA27344. Lawrence Livermore National Security, LLC. This work resulted from the Data Analysis for Nuclear Security Science Workshop 2020. Funding Information: The authors wish to thank Tony Culver and Brian Sobocinski for their help operating the Mercury facility. This manuscript has been authored in part by Mission Support and Test Services, LLC, under Contract No. DE‐NA0003624 with the U.S. Department of Energy and supported by the Site‐Directed Research and Development Program, U.S. Department of Energy, National Nuclear Security Administration. The United States Government retains and the publisher, by accepting the article for publication, acknowledges that the United States Government retains a nonexclusive, paid‐up, irrevocable, worldwide license to publish or reproduce the published form of this manuscript, or allow others to do so, for United States Government purposes. The U.S. Department of Energy will provide public access to these results of federally sponsored research in accordance with the DOE Public Access Plan ( http://energy.gov/downloads/doe‐public‐access‐plan ). The views expressed in the article do not necessarily represent the views of the U.S. Department of Energy or the United States Government. DOE/NV/03624‐0791. Coffee is supported by the U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences under Contract No. DE‐AC02‐76SF00515 and FWP‐100498 within the Accelerator and Detector Research program. Funding Information: This work was supported by the US Department of Energy through the Los Alamos National Laboratory. Los Alamos National Laboratory is operated by Triad National Security, LLC, for the National Nuclear Security Administration of U.S. Department of Energy (Contract No. 89233218CNA000001). LA‐UR‐20‐24323. The work at the U.S. Naval Research Laboratory was supported by the U.S. National Nuclear Security Agency and the U.S. Department of Energy under Interagency Agreement DE‐IAA 892331‐18‐S‐NA000014. Distribution A. This research was performed in part at Pacific Northwest National Laboratory (PNNL) using PNNL Institutional Computing. Funding for this work was provided by the Nuclear Process Science Initiative (NPSI), a Laboratory Directed Research and Development Initiative at PNNL which is operated by the Battelle for the US Department of Energy under Contract No DE‐AC05‐76RL0‐1830. This work was performed under the auspices of the U.S. Department of Energy by Lawrence Livermore National Laboratory under contract DE‐AC52‐07NA27344. Lawrence Livermore National Security, LLC. This work resulted from the Data Analysis for Nuclear Security Science Workshop 2020. Publisher Copyright: {\textcopyright} 2021 Wiley Periodicals LLC",
year = "2021",
month = dec,
doi = "https://doi.org/10.1002/sam.11501",
language = "English (US)",
volume = "14",
pages = "583--595",
journal = "Statistical Analysis and Data Mining",
issn = "1932-1864",
publisher = "John Wiley and Sons Inc.",
number = "6",
}