An Approach to Characterizing Spatial Aspects of Image System Blur

Conference · Mon Feb 24 23:00:00 EST 2020

OSTI ID:1603313

Adams, Jesse ^[1]; Joyce, Kevin ^[2]; Champion, Daniel ^[1]; Machorro, Eric ^[3]; Español, Malena ^[4]; Brennan, Michael ^[5]; Clarkson, Eric ^[6]; Pillow, Jessica ^[1]; Coffee, Ryan ^[7]; Howard, Marylesa ^[1]; Gonzalez, Arnulfo ^[1]; Breckling, Sean ^[1]; Lund, Margaret ^[1]

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1. Mission Support and Test Services, LLC (MSTS)
2. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
3. Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
4. Arizona State Univ., Tempe, AZ (United States)
5. Massachusetts Inst. of Technology (MIT), Cambridge, MA (United States)
6. University of Arizona
7. SLAC National Accelerator Laboratory

In imaging applications, such as X-ray radiography, the experimental system setup and data capture process introduce system blur and distortion. In images taken with thick scintillators, a spatially varying system blur is observed, requiring a nonstandard approach to blur and distortion estimation and removal. We demonstrate an approach to estimation of local point spread functions using checkerboard radiographs collected at the Naval Research Laboratory and extend that into a map defining the kernel over the camera field of view.

• Research Organization: Nevada National Security Site/Mission Support and Test Services LLC
• Sponsoring Organization: USDOE National Nuclear Security Administration (NNSA)
• DOE Contract Number: NA0003624
• OSTI ID: 1603313
• Report Number(s): DOE/NV/03624--0719
• Country of Publication: United States
• Language: English

Related Subjects

46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
image system blur