<?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-01771437</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="2026-05-11T02:45:58+02:00"/>
      </publicationStmt>
      <sourceDesc>
        <p part="N">HAL API Platform</p>
      </sourceDesc>
    </fileDesc>
  </teiHeader>
  <text>
    <body>
      <listBibl>
        <biblFull>
          <titleStmt>
            <title xml:lang="en">An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images</title>
            <author role="aut">
              <persName>
                <forename type="first">Pauline</forename>
                <surname>Puteaux</surname>
              </persName>
              <email type="md5">3cb5dca26e512b4556bc839074e24cd0</email>
              <email type="domain">cnrs.fr</email>
              <idno type="idhal" notation="string">pauline-puteaux</idno>
              <idno type="idhal" notation="numeric">21600</idno>
              <idno type="halauthorid" notation="string">39928-21600</idno>
              <idno type="ORCID">https://orcid.org/0000-0002-3236-4664</idno>
              <affiliation ref="#struct-388375"/>
            </author>
            <author role="aut">
              <persName>
                <forename type="first">William</forename>
                <surname>Puech</surname>
              </persName>
              <email type="md5">88b76a2ba554e79966bc15e91dbcca3c</email>
              <email type="domain">lirmm.fr</email>
              <idno type="idhal" notation="string">william-puech</idno>
              <idno type="idhal" notation="numeric">6353</idno>
              <idno type="halauthorid" notation="string">27789-6353</idno>
              <idno type="ORCID">https://orcid.org/0000-0001-9383-2401</idno>
              <idno type="IDREF">https://www.idref.fr/112107699</idno>
              <affiliation ref="#struct-388375"/>
            </author>
            <editor role="depositor">
              <persName>
                <forename>William</forename>
                <surname>Puech</surname>
              </persName>
              <email type="md5">88b76a2ba554e79966bc15e91dbcca3c</email>
              <email type="domain">lirmm.fr</email>
            </editor>
          </titleStmt>
          <editionStmt>
            <edition n="v1" type="current">
              <date type="whenSubmitted">2018-04-24 15:33:04</date>
              <date type="whenModified">2023-03-24 14:53:07</date>
              <date type="whenReleased">2018-05-09 10:00:04</date>
              <date type="whenProduced">2018</date>
              <date type="whenEndEmbargoed">2018-04-24</date>
              <ref type="file" target="https://hal.science/hal-01771437v1/document">
                <date notBefore="2018-04-24"/>
              </ref>
              <ref type="file" subtype="author" n="1" target="https://hal.science/hal-01771437v1/file/article_TIFS_revised_R3.pdf" id="file-1771437-1815597">
                <date notBefore="2018-04-24"/>
              </ref>
              <ref type="externalLink" target="https://hal.archives-ouvertes.fr/hal-01771437/file/article_TIFS_revised_R3.pdf"/>
            </edition>
            <respStmt>
              <resp>contributor</resp>
              <name key="113953">
                <persName>
                  <forename>William</forename>
                  <surname>Puech</surname>
                </persName>
                <email type="md5">88b76a2ba554e79966bc15e91dbcca3c</email>
                <email type="domain">lirmm.fr</email>
              </name>
            </respStmt>
          </editionStmt>
          <publicationStmt>
            <distributor>CCSD</distributor>
            <idno type="halId">hal-01771437</idno>
            <idno type="halUri">https://hal.science/hal-01771437</idno>
            <idno type="halBibtex">puteaux:hal-01771437</idno>
            <idno type="halRefHtml">&lt;i&gt;IEEE Transactions on Information Forensics and Security&lt;/i&gt;, 2018, 13 (7), pp.1670-1681. &lt;a target="_blank" href="https://dx.doi.org/10.1109/TIFS.2018.2799381"&gt;&amp;#x27E8;10.1109/TIFS.2018.2799381&amp;#x27E9;&lt;/a&gt;</idno>
            <idno type="halRef">IEEE Transactions on Information Forensics and Security, 2018, 13 (7), pp.1670-1681. &amp;#x27E8;10.1109/TIFS.2018.2799381&amp;#x27E9;</idno>
            <availability status="restricted">
              <licence target="https://about.hal.science/hal-authorisation-v1/">HAL Authorization<ref corresp="#file-1771437-1815597"/></licence>
            </availability>
          </publicationStmt>
          <seriesStmt>
            <idno type="stamp" n="CNRS">CNRS - Centre national de la recherche scientifique</idno>
            <idno type="stamp" n="LIRMM">Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier</idno>
            <idno type="stamp" n="ICARLIRMM" corresp="LIRMM">ICAR: Image &amp; Interaction</idno>
            <idno type="stamp" n="MIPS">Mathématiques, Informatique, Physique et Systèmes</idno>
            <idno type="stamp" n="UNIV-MONTPELLIER">Université de Montpellier</idno>
            <idno type="stamp" n="TEST-HALCNRS">Collection test HAL CNRS</idno>
            <idno type="stamp" n="UM-2015-2021" corresp="UNIV-MONTPELLIER">Université de Montpellier (2015-2021)</idno>
          </seriesStmt>
          <notesStmt>
            <note type="audience" n="2">International</note>
            <note type="popular" n="0">No</note>
            <note type="peer" n="1">Yes</note>
          </notesStmt>
          <sourceDesc>
            <biblStruct>
              <analytic>
                <title xml:lang="en">An Efficient MSB Prediction-Based Method for High-Capacity Reversible Data Hiding in Encrypted Images</title>
                <author role="aut">
                  <persName>
                    <forename type="first">Pauline</forename>
                    <surname>Puteaux</surname>
                  </persName>
                  <email type="md5">3cb5dca26e512b4556bc839074e24cd0</email>
                  <email type="domain">cnrs.fr</email>
                  <idno type="idhal" notation="string">pauline-puteaux</idno>
                  <idno type="idhal" notation="numeric">21600</idno>
                  <idno type="halauthorid" notation="string">39928-21600</idno>
                  <idno type="ORCID">https://orcid.org/0000-0002-3236-4664</idno>
                  <affiliation ref="#struct-388375"/>
                </author>
                <author role="aut">
                  <persName>
                    <forename type="first">William</forename>
                    <surname>Puech</surname>
                  </persName>
                  <email type="md5">88b76a2ba554e79966bc15e91dbcca3c</email>
                  <email type="domain">lirmm.fr</email>
                  <idno type="idhal" notation="string">william-puech</idno>
                  <idno type="idhal" notation="numeric">6353</idno>
                  <idno type="halauthorid" notation="string">27789-6353</idno>
                  <idno type="ORCID">https://orcid.org/0000-0001-9383-2401</idno>
                  <idno type="IDREF">https://www.idref.fr/112107699</idno>
                  <affiliation ref="#struct-388375"/>
                </author>
              </analytic>
              <monogr>
                <idno type="halJournalId" status="VALID">14058</idno>
                <idno type="issn">1556-6013</idno>
                <title level="j">IEEE Transactions on Information Forensics and Security</title>
                <imprint>
                  <publisher>Institute of Electrical and Electronics Engineers</publisher>
                  <biblScope unit="volume">13</biblScope>
                  <biblScope unit="issue">7</biblScope>
                  <biblScope unit="pp">1670-1681</biblScope>
                  <date type="datePub">2018</date>
                </imprint>
              </monogr>
              <idno type="doi">10.1109/TIFS.2018.2799381</idno>
            </biblStruct>
          </sourceDesc>
          <profileDesc>
            <langUsage>
              <language ident="en">English</language>
            </langUsage>
            <textClass>
              <keywords scheme="author">
                <term xml:lang="en">Image encryption</term>
                <term xml:lang="en">MSB prediction</term>
                <term xml:lang="en">Image security</term>
                <term xml:lang="en">Reversible data hiding</term>
              </keywords>
              <classCode scheme="halDomain" n="info.info-ti">Computer Science [cs]/Image Processing [eess.IV]</classCode>
              <classCode scheme="halTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halOldTypology" n="ART">Journal articles</classCode>
              <classCode scheme="halTreeTypology" n="ART">Journal articles</classCode>
            </textClass>
            <abstract xml:lang="en">
              <p>Reversible data hiding in encrypted images (RDHEI) is an effective technique to embed data in the encrypted domain. An original image is encrypted with a secret key and during or after its transmission, it is possible to embed additional information in the encrypted image, without knowing the encryp-tion key or the original content of the image. During the decoding process, the secret message can be extracted and the original image can be reconstructed. In the last few years, RDHEI has started to draw research interest. Indeed, with the development of cloud computing, data privacy has become a real issue. However, none of the existing methods allow us to hide a large amount of information in a reversible manner. In this paper, we propose a new reversible method based on MSB (most significant bit) prediction with a very high capacity. We present two approaches, these are: high capacity reversible data hiding approach with correction of prediction errors and high capacity reversible data hiding approach with embedded prediction errors. With this method, regardless of the approach used, our results are better than those obtained with current state of the art methods, both in terms of reconstructed image quality and embedding capacity.</p>
            </abstract>
          </profileDesc>
        </biblFull>
      </listBibl>
    </body>
    <back>
      <listOrg type="structures">
        <org type="researchteam" xml:id="struct-388375" status="OLD">
          <orgName>Image &amp; Interaction</orgName>
          <orgName type="acronym">ICAR</orgName>
          <date type="end">2021-12-31</date>
          <desc>
            <address>
              <addrLine>LIRMM, 161 rue Ada, 34000 Montpellier</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.lirmm.fr/equipes/ICAR/</ref>
          </desc>
          <listRelation>
            <relation active="#struct-181" type="direct"/>
            <relation name="UMR5506" active="#struct-410122" type="indirect"/>
            <relation name="UMR5506" active="#struct-441569" type="indirect"/>
          </listRelation>
        </org>
        <org type="laboratory" xml:id="struct-181" status="OLD">
          <idno type="IdRef">139590827</idno>
          <idno type="ISNI">0000000405990488</idno>
          <idno type="RNSR">199111950H</idno>
          <idno type="ROR">https://ror.org/013yean28</idno>
          <orgName>Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier</orgName>
          <orgName type="acronym">LIRMM</orgName>
          <date type="start">1995-01-01</date>
          <date type="end">2021-12-31</date>
          <desc>
            <address>
              <addrLine>161 rue Ada - 34095 Montpellier</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">https://www.lirmm.fr</ref>
          </desc>
          <listRelation>
            <relation name="UMR5506" active="#struct-410122" type="direct"/>
            <relation name="UMR5506" active="#struct-441569" type="direct"/>
          </listRelation>
        </org>
        <org type="institution" xml:id="struct-410122" status="OLD">
          <idno type="ISNI">0000000120970141</idno>
          <idno type="ROR">https://ror.org/051escj72</idno>
          <orgName>Université de Montpellier</orgName>
          <orgName type="acronym">UM</orgName>
          <date type="end">2021-12-31</date>
          <desc>
            <address>
              <addrLine>163 rue Auguste Broussonnet - 34090 Montpellier</addrLine>
              <country key="FR"/>
            </address>
            <ref type="url">http://www.umontpellier.fr/</ref>
          </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>