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  <doi_batch_id>aspg-20-3742-1791307679</doi_batch_id>
  <timestamp>20261006172759</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
   <email_address>admin@americaspg.com</email_address>
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  <registrant>American Scientific Publishing Group</registrant>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Wireless and Ad Hoc Communication</full_title>
    <abbrev_title>IJWAC</abbrev_title>
    <issn media_type="electronic">2692-4056</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <journal_volume>
     <volume>9</volume>
    </journal_volume>
    <issue>2</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>An Efficient Detection of Copy-Move Forgery Using Phase Correlation</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>L. Chitirap</given_name>
      <surname>Paavai</surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor, Department of ECE, Knowledge Institute of Technology, Salem, Tamil Nadu, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>V.</given_name>
      <surname>Vadivu</surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor, Department of ECE, Knowledge Institute of Technology, Salem, Tamil Nadu, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>L.</given_name>
      <surname>Krishnan</surname>
      <affiliations>
       <institution>
        <institution_name>Assistant Professor, Department of Civil, Knowledge Institute of Technology, Salem, Tamil Nadu, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Creating images is one of the main focuses of digital image processing. There are multiple techniques to spot image fraud. This work proposes a new approach to detect attacks that mimic Copy-Move forgeries. The proposed method applies DWT on the input image to create a reduced dimensional representation of the image. After that, the compressed image is divided into overlapping blocks. After these blocks are sorted, phase correlation is utilized as a similarity criterion to find duplicate blocks. Due to DWT usage, the lowest-level picture representation is first employed for detection. This work also covers the examination of numerous limits that are imposed to the input image, and the results are used in the analysis that follows.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2025</year>
    </publication_date>
    <pages>
     <first_page>14</first_page>
     <last_page>17</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">3742</item_number>
    </publisher_item>
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     <ai:license_ref applies_to="vor">https://creativecommons.org/licenses/by/4.0/</ai:license_ref>
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    <doi_data>
     <doi>10.54216/IJWAC.090203</doi>
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