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Title: Systems Approach to Blur Estimation and Removal

Abstract

Python package for a systems approach to blur estimation and reduction

Developers:
 [1]
  1. Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Release Date:
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Version:
0.1
Licenses:
MIT License
Sponsoring Org.:
USDOE National Nuclear Security Administration (NNSA)

Primary Award/Contract Number:
AC52-07NA27344
Code ID:
32747
Site Accession Number:
957387
Research Org.:
Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)
Country of Origin:
United States

Citation Formats

Mohan, Kadri Aditya, and USDOE National Nuclear Security Administration. Systems Approach to Blur Estimation and Removal. Computer software. https://www.osti.gov//servlets/purl/1576722. Vers. 0.1. USDOE National Nuclear Security Administration (NNSA). 12 Dec. 2018. Web. doi:10.11578/dc.20191202.3.
Mohan, Kadri Aditya, & USDOE National Nuclear Security Administration. (2018, December 12). Systems Approach to Blur Estimation and Removal (Version 0.1) [Computer software]. https://www.osti.gov//servlets/purl/1576722. doi:10.11578/dc.20191202.3.
Mohan, Kadri Aditya, and USDOE National Nuclear Security Administration. Systems Approach to Blur Estimation and Removal. Computer software. Version 0.1. December 12, 2018. https://www.osti.gov//servlets/purl/1576722. doi:10.11578/dc.20191202.3.
@misc{osti_1576722,
title = {Systems Approach to Blur Estimation and Removal, Version 0.1},
author = {Mohan, Kadri Aditya and USDOE National Nuclear Security Administration},
abstractNote = {Python package for a systems approach to blur estimation and reduction},
url = {https://www.osti.gov//servlets/purl/1576722},
doi = {10.11578/dc.20191202.3},
year = {2018},
month = {12},
note =
}

Software:
Publicly Accessible Repository
https://github.com/sabersw/pysaber

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