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Volume: 11 | Article ID: art00022
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autoSFR: New Extensions to Automated Scanning Resolution Determination for Photographic Collections
Lei He
Phil Michel
Steven Puglia
Don Williams
  DOI :  10.2352/issn.2168-3204.2014.11.1.art00022  Published Online :  June 2014
Abstract

In this paper we present our recent software development, autoSFR, with new extensions to the previous program for automated scanning resolution determination, which was published in the paper "Computer Assisted Image Analysis for Objective Determination of Scanning Resolution for Photographic Collections – An Automated Approach" presented at Archiving 2013. The extension works include the algorithm robustness and accuracy verification by statistical tests, the analysis of denoising effects on the sampling efficiency computation, and the construction of a user friendly interface.

Journal Title : Archiving Conference
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
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 DOI 10.2352/issn.2168-3204.2014.11.1.art00022
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Lei He, Phil Michel, Steven Puglia, Don Williams, "autoSFR: New Extensions to Automated Scanning Resolution Determination for Photographic Collections"  in Proc. IS&T Archiving 2014,  2014,  pp 101 - 105,  https://doi.org/10.2352/issn.2168-3204.2014.11.1.art00022

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Copyright © Society for Imaging Science and Technology 2014
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Archiving Conference
archiving
2161-8798
Society for Imaging Science and Technology
2161-8798(20140601)2014:1L.101;1-
s22.phd
/ist/ac/2014/00002014/00000001/art00022
Articles
autoSFR: New Extensions to Automated Scanning Resolution Determination for Photographic Collections
HeLei
MichelPhil
PugliaSteven
WilliamsDon
01062014
2014
1
101
105
2014
In this paper we present our recent software development, autoSFR, with new extensions to the previous program for automated scanning resolution determination, which was published in the paper "Computer Assisted Image Analysis for Objective Determination of Scanning Resolution for Photographic Collections – An Automated Approach" presented at Archiving 2013. The extension works include the algorithm robustness and accuracy verification by statistical tests, the analysis of denoising effects on the sampling efficiency computation, and the construction of a user friendly interface.