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<article article-type="research-article">
  <front>
    <journal-meta>
      <journal-id journal-id-type="aggregator">72010604</journal-id>
      <journal-title>Electronic Imaging</journal-title>
      <issn pub-type="ppub">2470-1173</issn><issn pub-type="epub"></issn>
      <publisher>
        <publisher-name>Society for Imaging Science and Technology</publisher-name>
        <publisher-loc>7003 Kilworth Lane, Springfield, VA 22151 USA</publisher-loc>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.2352/ISSN.2470-1173.2019.10.IQSP-320</article-id>
      <article-id pub-id-type="sici">2470-1173(20190113)2019:10L.3201;1-</article-id>
      <article-id pub-id-type="publisher-id">ei_24701173_v2019n10_r1/s18.xml</article-id>
      <article-id pub-id-type="other">/ist/ei/2019/00002019/00000010/art00019</article-id>
      <article-categories>
        <subj-group>
          <subject>Articles</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Quantify Aliasing a new approach to make resolution measurement more robust</article-title>
      </title-group>
      <contrib-group>
        <contrib>
          <name>
            <surname>Artmann</surname>
            <given-names>Uwe</given-names>
          </name>
        </contrib>
      </contrib-group>
      <pub-date>
        <day>13</day>
        <month>01</month>
        <year>2019</year>
      </pub-date>
      <volume>2019</volume>
      <issue>10</issue>
      <fpage>320-1</fpage>
      <lpage>320-6</lpage>
      <permissions>
        <copyright-year>2019</copyright-year>
      </permissions>
      <abstract>
        <p>
          <italic>Aliasing is a well-known effect in imaging which leads potentially to disturbing artefacts on structures. While the high pixel count of todays devices helps to reduce this effect, at the same time optical anti-aliasing filter are more often removed from sensor stacks to improve on
 system SFR and quantum efficiency. While the artefact is easy to see, an objective measurement and quantification of aliasing is not standardised or established. In this paper we show an extension to existing SFR measurement procedures described in ISO12233 which can measure and quantify the
 existence of aliasing in the imaging system. It utilises the harmonic Siemens star of the s-SFR method and can be included into existing systems, so does not require the capture of additional images.</italic>
        </p>
      </abstract>
      <kwd-group>
        <kwd>Aliasing</kwd>
        <kwd>Benchmarking</kwd>
        <kwd>SFR</kwd>
        <kwd>Siemens star</kwd>
        <kwd>ISO12233</kwd>
        <kwd>MTF</kwd>
      </kwd-group>
    </article-meta>
  </front>
</article>
