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  <doi_batch_id>aspg-27-1216-1792223531</doi_batch_id>
  <timestamp>20261017075211</timestamp>
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  <journal>
   <journal_metadata language="en">
    <full_title>International Journal of Artificial Intelligence and Education Technology</full_title>
    <abbrev_title>IJAIET</abbrev_title>
    <issn media_type="electronic">2835-2432</issn>
   </journal_metadata>
   <journal_issue>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <journal_volume>
     <volume>1</volume>
    </journal_volume>
    <issue>2</issue>
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   <journal_article publication_type="full_text">
    <titles>
     <title>Building System To Improve The Quality Of Digital Educational Images Used In The Production Of Electronic Courses</title>
    </titles>
    <contributors>
     <person_name sequence="first" contributor_role="author">
      <given_name>Elsaeed M.</given_name>
      <surname>Abdelrazek</surname>
      <affiliations>
       <institution>
        <institution_name>Faculty Of Specific Education, Damietta University, Damietta, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Abd El Fatah A.</given_name>
      <surname>Elzayat</surname>
      <affiliations>
       <institution>
        <institution_name>Damietta Educational Administration, Damietta, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
     <person_name sequence="additional" contributor_role="author">
      <given_name>Abeer M.</given_name>
      <surname>Saad</surname>
      <affiliations>
       <institution>
        <institution_name>Computer Teacher Preparation Dept., Faculty Of Specific Education, Damietta University, Damietta, Egypt</institution_name>
       </institution>
      </affiliations>
     </person_name>
    </contributors>
    <jats:abstract>
     <jats:p>The aim of the research is to build a system to improve the quality of digital images used in the production of electronic courses, as this proposed system relied on digital image processing using recursive curve modification histogram techniques (through a set of stages including the stage of converting the color image to a gray scale image, then the stage Removing noise from the image, then the stage of resetting the contrast of the image Histogram Equalization Technique, with</jats:p>
     <jats:p>a judgment or decision on the importance of the improved image resulting from the system automatically, by comparing the (SSIM) value between the original image and the enhanced image and coming up with a decision before outputting The image on the screen and how useful it is,</jats:p>
     <jats:p>or keep the original image.</jats:p>
    </jats:abstract>
    <publication_date media_type="online">
     <year>2022</year>
    </publication_date>
    <pages>
     <first_page>08</first_page>
     <last_page>21</last_page>
    </pages>
    <publisher_item>
     <item_number item_number_type="article-number">1216</item_number>
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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>10.54216/IJAIET.010201</doi>
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