Back to articles
DPMI/IQSP: Image Capture
Volume: 28 | Article ID: art00007
Image
Linearization and Normalization in Spatial Frequency Response Measurement
Uwe Artmann
  DOI :  10.2352/ISSN.2470-1173.2016.13.IQSP-011  Published Online :  February 2016
Abstract

The standard ISO12233:2014 describes different methods on how to measure the spatial frequency response (SFR) of an imaging system. It uses either a slanted edge (eSFR) or a harmonic Siemens star (sSFR). Within the document, it is mentioned that a linearization process shall correct a non-linear tone curve. Normalization is not further defined, but is an important part of the evaluation for the sSFR method. Using the sSFR method for texture loss analysis in the upcoming ISO19567 standard (based on a low contrast version of the Siemens star) it is even more critical. In this paper, we evaluate the influence of linearization and normalization on the results, identify issues in common implementations and present a new approach.

Journal Title : Electronic Imaging
Publisher Name : Society for Imaging Science and Technology
Subject Areas :
Views 29
Downloads 5
 DOI 10.2352/ISSN.2470-1173.2016.13.IQSP-011
 articleview.views 29
 articleview.downloads 5
  Cite this article 

Uwe Artmann, "Linearization and Normalization in Spatial Frequency Response Measurement"  in Proc. IS&T Int’l. Symp. on Electronic Imaging: Image Quality and System Performance XIII,  2016,  https://doi.org/10.2352/ISSN.2470-1173.2016.13.IQSP-011

 Copy citation
  Copyright statement 
Copyright © Society for Imaging Science and Technology 2016
72010604
Electronic Imaging
2470-1173
Society for Imaging Science and Technology
10.2352/ISSN.2470-1173.2016.13.IQSP-011
2470-1173(20160214)2016:13L.1;1-
s7.phd
/ist/ei/2016/00002016/00000013/art00007
DPMI/IQSP: Image Capture
Linearization and Normalization in Spatial Frequency Response Measurement
ArtmannUwe
14022016
2016
13
1
6
2016
The standard ISO12233:2014 describes different methods on how to measure the spatial frequency response (SFR) of an imaging system. It uses either a slanted edge (eSFR) or a harmonic Siemens star (sSFR). Within the document, it is mentioned that a linearization process shall correct a non-linear tone curve. Normalization is not further defined, but is an important part of the evaluation for the sSFR method. Using the sSFR method for texture loss analysis in the upcoming ISO19567 standard (based on a low contrast version of the Siemens star) it is even more critical. In this paper, we evaluate the influence of linearization and normalization on the results, identify issues in common implementations and present a new approach.