<?xml version="1.0" encoding="utf-8"?>
<TEI xmlns="http://www.tei-c.org/ns/1.0" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:hal="http://hal.archives-ouvertes.fr/" xmlns:gml="http://www.opengis.net/gml/3.3/" xmlns:gmlce="http://www.opengis.net/gml/3.3/ce" version="1.1" xsi:schemaLocation="http://www.tei-c.org/ns/1.0 http://api.archives-ouvertes.fr/documents/aofr-sword.xsd">
  <teiHeader>
    <fileDesc>
      <titleStmt>
        <title>HAL TEI export of hal-02304287</title>
      </titleStmt>
      <publicationStmt>
        <distributor>CCSD</distributor>
        <availability status="restricted">
          <licence target="https://creativecommons.org/publicdomain/zero/1.0/">CC0 1.0 - Universal</licence>
        </availability>
        <date when="2026-05-15T21:23:20+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">Camera model identification Based on hypothesis testing theory</title>
            <author role="aut">
              <persName>
                <forename type="first">Thanh Hai</forename>
                <surname>Thai</surname>
              </persName>
              <email type="md5">68c266fa769e4fe7b62d2d6fc661553e</email>
              <email type="domain">utt.fr</email>
              <idno type="idhal" notation="numeric">960645</idno>
              <idno type="halauthorid" notation="string">864609-960645</idno>
              <affiliation ref="#struct-26637"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Rémi</forename>
                <surname>Cogranne</surname>
              </persName>
              <email type="md5">c4e497271b4bcc69e75434f225de3df3</email>
              <email type="domain">utt.fr</email>
              <idno type="idhal" notation="string">remi-cogranne</idno>
              <idno type="idhal" notation="numeric">9636</idno>
              <idno type="halauthorid" notation="string">13565-9636</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-4205-4694</idno>
              <idno type="GOOGLE SCHOLAR">https://scholar.google.fr/citations?user=ZKpouPAAAAAJ</idno>
              <idno type="IDREF">https://www.idref.fr/168828960</idno>
              <affiliation ref="#struct-26637"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">Florent</forename>
                <surname>Retraint</surname>
              </persName>
              <idno type="idhal" notation="numeric">765126</idno>
              <idno type="halauthorid" notation="string">596283-765126</idno>
              <idno type="ORCID">https://orcid.org/0000-0001-9273-4260</idno>
              <idno type="IDREF">https://www.idref.fr/130483338</idno>
              <affiliation ref="#struct-26637"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>Rémi</forename>
                <surname>Cogranne</surname>
              </persName>
              <email type="md5">c4e497271b4bcc69e75434f225de3df3</email>
              <email type="domain">utt.fr</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2025-05-27 08:21:18</date>
              <date type="whenModified">2025-05-28 03:22:29</date>
              <date type="whenReleased">2025-05-27 20:18:31</date>
              <date type="whenProduced">2012-08-27</date>
              <date type="whenEndEmbargoed">2025-05-27</date>
              <ref type="file" target="https://hal.science/hal-02304287v1/document">
                <date notBefore="2025-05-27"/>
              </ref>
              <ref type="file" subtype="greenPublisher" n="1" target="https://hal.science/hal-02304287v1/file/thai_eusipco_v2%20%282%29.pdf" id="file-5085955-4399326">
                <date notBefore="2025-05-27"/>
              </ref>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="164186">
                <persName>
                  <forename>Rémi</forename>
                  <surname>Cogranne</surname>
                </persName>
                <email type="md5">c4e497271b4bcc69e75434f225de3df3</email>
                <email type="domain">utt.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-02304287</idno>
            <idno type="halUri">https://hal.science/hal-02304287</idno>
            <idno type="halBibtex">thai:hal-02304287</idno>
            <idno type="halRefHtml">&lt;i&gt;20th European Signal Processing Conference (EUSIPCO 2012)&lt;/i&gt;, Aug 2012, Bucarest, Romania</idno>
            <idno type="halRef">20th European Signal Processing Conference (EUSIPCO 2012), Aug 2012, Bucarest, Romania</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-5085955-4399326"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="UNIV-TROYES">Université de Technologie de Troyes</idno>
            <idno type="stamp" n="UTT">UTT</idno>
            <idno type="stamp" n="UTT-LIST3N" corresp="UNIV-TROYES">LIST3N - Laboratoire Informatique et Société Numérique</idno>
            <idno type="stamp" n="UTT-FULL-TEXT">UTT - Texte intégral</idno>
            <idno type="stamp" n="LM2S-UTT" corresp="UTT">LM2S</idno>
            <idno type="stamp" n="LIST3N-MSAD" corresp="UTT-LIST3N">LIST3N -  Modélisation, stochastique, apprentissage et décision</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="invited" n="0">No</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
            <note type="proceedings" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">Camera model identification Based on hypothesis testing theory</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Thanh Hai</forename>
                    <surname>Thai</surname>
                  </persName>
                  <email type="md5">68c266fa769e4fe7b62d2d6fc661553e</email>
                  <email type="domain">utt.fr</email>
                  <idno type="idhal" notation="numeric">960645</idno>
                  <idno type="halauthorid" notation="string">864609-960645</idno>
                  <affiliation ref="#struct-26637"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Rémi</forename>
                    <surname>Cogranne</surname>
                  </persName>
                  <email type="md5">c4e497271b4bcc69e75434f225de3df3</email>
                  <email type="domain">utt.fr</email>
                  <idno type="idhal" notation="string">remi-cogranne</idno>
                  <idno type="idhal" notation="numeric">9636</idno>
                  <idno type="halauthorid" notation="string">13565-9636</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-4205-4694</idno>
                  <idno type="GOOGLE SCHOLAR">https://scholar.google.fr/citations?user=ZKpouPAAAAAJ</idno>
                  <idno type="IDREF">https://www.idref.fr/168828960</idno>
                  <affiliation ref="#struct-26637"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">Florent</forename>
                    <surname>Retraint</surname>
                  </persName>
                  <idno type="idhal" notation="numeric">765126</idno>
                  <idno type="halauthorid" notation="string">596283-765126</idno>
                  <idno type="ORCID">https://orcid.org/0000-0001-9273-4260</idno>
                  <idno type="IDREF">https://www.idref.fr/130483338</idno>
                  <affiliation ref="#struct-26637"/>
                </author>
              </analytic>
              <monogr>
                <meeting>
                  <title>20th European Signal Processing Conference (EUSIPCO 2012)</title>
                  <date type="start">2012-08-27</date>
                  <date type="end">2012-08-31</date>
                  <settlement>Bucarest</settlement>
                  <country key="RO">Romania</country>
                </meeting>
                <imprint>
                  <biblScope unit="serie">2012 Proceedings of the 20th European Signal Processing Conference (EUSIPCO)</biblScope>
                </imprint>
              </monogr>
              <ref type="publisher">https://ieeexplore.ieee.org/document/6333905/algorithms#algorithms</ref>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <classCode scheme="halDomain" n="spi.signal">Engineering Sciences [physics]/Signal and Image processing</classCode>
              <classCode scheme="halTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halOldTypology" n="COMM">Conference papers</classCode>
              <classCode scheme="halTreeTypology" n="COMM">Conference papers</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>This paper aims to study the problem of imaging device identification using the heteroscedastic property of uncompressed image noise. Noise variance depends on pixels intensity through two parameters which uniquely represent a camera model and hence, enable to identify imaging device. The decision problem is cast in the framework of hypothesis testing theory. First, the theoretical context in which both the inspected image parameters and imaging device properties are known is considered. The most powerful Likelihood Ratio Test (LRT) is presented and its detection performance is analytically calculated. Then, the practical situation when inspected image parameters are unknown, but imaging device properties remain known, is studied. Based on a simple yet efficient image model, the inspected image parameters are estimated. This leads to the designed Generalized Likelihood Ratio Test (GLRT) whose statistical performances are analytically given. Numerical simulations and experimentations on natural images show the relevance of the proposed approach.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="researchteam" xml:id="struct-26637" status="OLD">
          <orgName>Laboratoire Modélisation et Sûreté des Systèmes</orgName>
          <orgName type="acronym">LM2S</orgName>
          <date type="end">2020-12-31</date>
          <desc>
            <address>
              <addrLine>UTT - 12, rue Marie Curie - BP 2060 - 10010 TROYES CEDEX</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://lm2s.utt.fr/fr/index.html</ref>
          </desc>
          <listRelation>
            <relation active="#struct-116261" type="direct"/>
            <relation active="#struct-93484" type="indirect"/>
            <relation name="UMR6281" active="#struct-441569" type="indirect"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-116261" status="OLD">
          <idno type="RNSR">201019052V</idno>
          <orgName>Institut Charles Delaunay</orgName>
          <orgName type="acronym">ICD</orgName>
          <date type="start">2006-01-01</date>
          <date type="end">2020-12-31</date>
          <desc>
            <address>
              <addrLine>12, rue Marie Curie BP 2060 - 10010 Troyes Cedex</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://icd.utt.fr/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-93484" type="direct"/>
            <relation name="UMR6281" active="#struct-441569" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-93484" status="VALID">
          <idno type="ROR">https://ror.org/01qhqcj41</idno>
          <orgName>Université de Technologie de Troyes</orgName>
          <orgName type="acronym">UTT</orgName>
          <desc>
            <address>
              <addrLine>12 rue Marie CurieCS 4206010004 TROYES CEDEX</addrLine>
              <country key="FR"/>
            </address>
          </desc>
        </org>
        <org type="regroupinstitution" xml:id="struct-441569" status="VALID">
          <idno type="IdRef">02636817X</idno>
          <idno type="ISNI">0000000122597504</idno>
          <idno type="ROR">https://ror.org/02feahw73</idno>
          <orgName>Centre National de la Recherche Scientifique</orgName>
          <orgName type="acronym">CNRS</orgName>
          <date type="start">1939-10-19</date>
          <desc>
            <address>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.cnrs.fr/</ref>
          </desc>
        </org>
      </listOrg>
    </back>
  </text>
</TEI>