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  <docDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv">Autocorrelation-Driven Diffusion Filtering</titl>
        <parTitl xml:lang="en">Autocorrelation-Driven Diffusion Filtering</parTitl>
        <IDNo agency="SND">2024-219-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/qb4q-jt57</IDNo>
      </titlStmt>
      <prodStmt>
        <producer xml:lang="en" abbr="SND">Swedish National Data Service</producer>
        <producer xml:lang="sv" abbr="SND">Svensk nationell datatjänst</producer>
      </prodStmt>
      <holdings URI="https://doi.org/10.5878/qb4q-jt57">Landing page</holdings>
    </citation>
  </docDscr>
  <stdyDscr>
    <citation>
      <titlStmt>
        <titl xml:lang="sv">Autocorrelation-Driven Diffusion Filtering</titl>
        <parTitl xml:lang="en">Autocorrelation-Driven Diffusion Filtering</parTitl>
        <IDNo agency="SND">2024-219-1</IDNo>
        <IDNo agency="DOI">https://doi.org/10.5878/qb4q-jt57</IDNo>
      </titlStmt>
      <rspStmt>
        <AuthEnty xml:lang="en" affiliation="Department of Electrical Engineering, Computer Vision / Center for Medical Image Science and Visualization (CMIV), Linköping University">Felsberg, Michael</AuthEnty>
        <AuthEnty xml:lang="sv" affiliation="Institutionen för systemteknik, Bildbehandling / Centrum för medicinsk bildvetenskap och visualisering, CMIV, Linköpings universitet">Felsberg, Michael</AuthEnty>
      </rspStmt>
      <prodStmt />
      <distStmt>
        <distrbtr xml:lang="en" abbr="SND" URI="https://snd.se">Swedish National Data Service</distrbtr>
        <distrbtr xml:lang="sv" abbr="SND" URI="https://snd.se">Svensk nationell datatjänst</distrbtr>
        <distDate xml:lang="en" date="2018-01-19" />
      </distStmt>
      <verStmt>
        <version elementVersion="1" elementVersionDate="2018-01-19" />
      </verStmt>
      <holdings URI="https://doi.org/10.5878/qb4q-jt57">Landing page</holdings>
    </citation>
    <stdyInfo>
      <subject>
        <keyword xml:lang="en" vocab="YSO" vocabURI="http://www.yso.fi/onto/yso/p25940">autonomous systems</keyword>
        <keyword xml:lang="sv" vocab="YSO" vocabURI="http://www.yso.fi/onto/yso/p25940">autonoma system</keyword>
      </subject>
      <abstract xml:lang="en" contentType="abstract">The dataset consists of Matlab code and present a novel scheme for anisotropic diffusion driven by the image autocorrelation function. We show the equivalence of this scheme to a special case of iterated adaptive filtering. By determining the diffusion tensor field from an autocorrelation estimate, we obtain an evolution equation that is computed from a scalar product of diffusion tensor and the image Hessian. We propose further a set of filters to approximate the Hessian on a minimized spatial support. On standard benchmarks, the resulting method performs favorable in many cases, in particular at low noise levels. In a GPU implementation, video real-time performance is easily achieved.

The dataset was originally published in DiVA and moved to SND in 2024.</abstract>
      <abstract xml:lang="sv" contentType="abstract">The dataset consists of Matlab code and present a novel scheme for anisotropic diffusion driven by the image autocorrelation function. We show the equivalence of this scheme to a special case of iterated adaptive filtering. By determining the diffusion tensor field from an autocorrelation estimate, we obtain an evolution equation that is computed from a scalar product of diffusion tensor and the image Hessian. We propose further a set of filters to approximate the Hessian on a minimized spatial support. On standard benchmarks, the resulting method performs favorable in many cases, in particular at low noise levels. In a GPU implementation, video real-time performance is easily achieved.

Datasetet har ursprungligen publicerats i DiVA och flyttades över till SND 2024.</abstract>
      <sumDscr />
    </stdyInfo>
    <method>
      <dataColl />
    </method>
    <dataAccs>
      <useStmt>
        <restrctn xml:lang="en">Access to data through SND. Data are freely accessible.</restrctn>
        <restrctn xml:lang="sv">Åtkomst till data via SND. Data är fritt tillgängliga.</restrctn>
        <conditions elementVersion="info:eu-repo-Access-Terms vocabulary">openAccess</conditions>
      </useStmt>
    </dataAccs>
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