An approach to characterizing spatial aspects of image system blur

Adams, Jesse; Pillow, Jessica; Joyce, Kevin; Brennan, Michael; Español, Malena I.; Morzfeld, Matthias; Breckling, Sean; Champion, Daniel; Clarkson, Eric; Coffee, Ryan; Gehring, Amanda; Lund, Margaret; Smalley, Duane; Williams, Ajanae; Zier, Jacob; Frayer, Daniel; Howard, Marylesa; Machorro, Eric

doi:10.1002/sam.11501

Title: An approach to characterizing spatial aspects of image system blur

Journal Article · Thu Feb 25 00:00:00 EST 2021 · Statistical Analysis and Data Mining

DOI:https://doi.org/10.1002/sam.11501· OSTI ID:1777178

^[1]; Pillow, Jessica ^[2]; Joyce, Kevin ^[3];

^[4];

^[5];

^[6];

^[1]; Champion, Daniel ^[1]; Clarkson, Eric ^[7];

^[8]; Gehring, Amanda ^[9];

^[1]; Smalley, Duane ^[1];

^[1]; Zier, Jacob ^[10]; Frayer, Daniel ^[1];

^[1];

^[11]

Nevada National Security Site (NNSS), Las Vegas, NV (United States)
Nevada National Security Site (NNSS), Las Vegas, NV (United States); Univ. of Arizona, Tucson, AZ (United States)
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
Arizona State Univ., Tempe, AZ (United States)
Univ. of California, San Diego, CA (United States)
Univ. of Arizona, Tucson, AZ (United States)
SLAC National Accelerator Lab., Menlo Park, CA (United States). Linac Coherent Light Source (LCLS)
Los Alamos National Lab. (LANL), Los Alamos, NM (United States)
Naval Research Lab. (NRL), Washington, DC (United States)
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

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Research Organization:: SLAC National Accelerator Laboratory (SLAC), Menlo Park, CA (United States); Nevada National Security Site/Mission Support and Test Services LLC (NNSS/MSTS), North Las Vegas, NV (United States); Los Alamos National Laboratory (LANL), Los Alamos, NM (United States); Pacific Northwest National Laboratory (PNNL), Richland, WA (United States); Lawrence Livermore National Laboratory (LLNL), Livermore, CA (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES); USDOE National Nuclear Security Administration (NNSA)

Grant/Contract Number:: AC52-07NA27344; 89233218CNA000001; AC02-76SF00515; AC05-76RL01830; NA0003624; DE‐AC02‐76SF00515; DE‐AC05‐76RL0‐1830

OSTI ID:: 1777178

Alternate ID(s):: OSTI ID: 1784700; OSTI ID: 1786602

Report Number(s):: DOE/NV/03624-0791; LA-UR-20-24323; TRN: US2209414

Journal Information:: Statistical Analysis and Data Mining, Vol. 14, Issue 6; ISSN 1932-1864

Publisher:: WileyCopyright Statement

Country of Publication:: United States

Language:: English

References (19)

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Dealing with boundary artifacts in MCMC-based deconvolution Bardsley, Johnathan M.; Luttman, Aaron Linear Algebra and its Applications, Vol. 473 https://doi.org/10.1016/j.laa.2014.09.023	journal	May 2015
Space variant deconvolution of galaxy survey images Farrens, S.; Ngolè Mboula, F. M.; Starck, J. -L. Astronomy & Astrophysics, Vol. 601 https://doi.org/10.1051/0004-6361/201629709	journal	May 2017
Reconstruction algorithm for point source neutron imaging through finite thickness scintillator Wang, H.; Tang, V.; McCarrick, J. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 693, p. 294-301 https://doi.org/10.1016/j.nima.2012.07.018	journal	November 2012
Linear interpolation of histograms Read, A. L. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 425, Issue 1-2 https://doi.org/10.1016/S0168-9002(98)01347-3	journal	April 1999
The Partition of Unity Method BabuŠKa, I.; Melenk, J. M. International Journal for Numerical Methods in Engineering, Vol. 40, Issue 4 https://doi.org/10.1002/(SICI)1097-0207(19970228)40:4<727::AID-NME86>3.0.CO;2-N	journal	February 1997
Deconvolution with a spatially-variant PSF Lauer, Tod Astronomical Telescopes and Instrumentation, SPIE Proceedings https://doi.org/10.1117/12.461035	conference	December 2002
A stochastic approach to quantifying the blur with uncertainty estimation for high-energy X-ray imaging systems Fowler, Michael J.; Howard, Marylesa; Luttman, Aaron Inverse Problems in Science and Engineering, Vol. 24, Issue 3 https://doi.org/10.1080/17415977.2015.1046859	journal	June 2015
Partition of unity interpolation using stable kernel-based techniques Cavoretto, R.; De Marchi, S.; De Rossi, A. Applied Numerical Mathematics, Vol. 116 https://doi.org/10.1016/j.apnum.2016.07.005	journal	June 2017
MCMC-Based Image Reconstruction with Uncertainty Quantification Bardsley, Johnathan M. SIAM Journal on Scientific Computing, Vol. 34, Issue 3 https://doi.org/10.1137/11085760X	journal	January 2012
Penumbral imaging made easy Barnea, Gideon Review of Scientific Instruments, Vol. 65, Issue 6 https://doi.org/10.1063/1.1144846	journal	June 1994
Modeling and removing spatially-varying optical blur Kee, Eric; Paris, Sylvain; Chen, Simon 2011 IEEE International Conference on Computational Photography (ICCP) https://doi.org/10.1109/ICCPHOT.2011.5753120	conference	April 2011
New features in cold neutron radiography and tomography Baechler, S.; Kardjilov, N.; Dierick, M. Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 491, Issue 3 https://doi.org/10.1016/S0168-9002(02)01238-X	journal	October 2002
Discrete Inverse Problems Hansen, Per Christian Fundamentals of Algorithms https://doi.org/10.1137/1.9780898718836	journal	January 2010
Image restoration of high-energy X-ray radiography with a scintillator blur model Smalley, Duane; Baker, Stuart; Baldonado, Brandon Nuclear Instruments and Methods in Physics Research Section A: Accelerators, Spectrometers, Detectors and Associated Equipment, Vol. 968 https://doi.org/10.1016/j.nima.2020.163910	journal	July 2020
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