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  <doi_batch_id>aspg-40-2022-1792222523</doi_batch_id>
  <timestamp>20261017073523</timestamp>
  <depositor>
   <depositor_name>American Scientific Publishing Group</depositor_name>
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  <journal>
   <journal_metadata language="en">
    <full_title>Pure Mathematics for Theoretical Computer Science</full_title>
    <abbrev_title>PMTCS</abbrev_title>
    <issn media_type="electronic">2995-3162</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <journal_volume>
     <volume>1</volume>
    </journal_volume>
    <issue>1</issue>
   </journal_issue>
   <journal_article publication_type="full_text">
    <titles>
     <title>Align and fusion two thermal and visual images</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Barbara</given_name>
      <surname>Charchekhandra</surname>
      <affiliations>
       <institution>
        <institution_name>Jadavpur University, Department Of Mathematics, Kolkata, India</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>Observation and detection in different environments and weather conditions requires the use of multiple imaging methods in different spectral fields (millimeter, IR, visual, ultraviolet), where the merging process collects useful information from each spectral field and presents it in a single image. Fusion requires scene matching (zoom, rotation, shift). This article forms a good basis for real-time video image alignment and fusion, with a special focus on pixel-level fusion. In this work, we applied the affine transformation to align two images with an accuracy of up to one pixel, and then we applied several images fusion algorithms based on summing, average, linear summation, or taking the maximum or minimum values of the pixel values, and the results of applying linear addition and values algorithms were The pixels are great compared to other methods.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2023</year>
    </publication_date>
    <pages>
     <first_page>17</first_page>
     <last_page>31</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">2022</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/PMTCS.010102</doi>
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