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<ArticleSet>
  <ARTICLE>
    <Journal>
      <PublisherName>مرکز منطقه ای اطلاع رسانی علوم و فناوری</PublisherName>
      <JournalTitle>Journal of Information Systems and Telecommunication (JIST) </JournalTitle>
      <ISSN>2322-1437</ISSN>
      <Volume>2</Volume>
      <Issue>6</Issue>
      <PubDate PubStatus="epublish">
        <Year>2014</Year>
        <Month>6</Month>
        <Day>21</Day>
      </PubDate>
    </Journal>
    <ArticleTitle>Low Complexity Median Filter Hardware for Image Impulsive Noise Reduction</ArticleTitle>
    <VernacularTitle>Low Complexity Median Filter Hardware for Image Impulsive Noise Reduction</VernacularTitle>
    <FirstPage>1</FirstPage>
    <LastPage>10</LastPage>
    <ELocationID EIdType="doi">10.7508/jist.2014.02.003</ELocationID>
    <Language>en</Language>
    <AuthorList>
      <Author>
        <FirstName>Hossein</FirstName>
        <LastName>Zamani HosseinAbadi</LastName>
        <Affiliation>Isfahan University of Technology</Affiliation>
      </Author>
      <Author>
        <FirstName>samavi96</FirstName>
        <LastName>samavi96</LastName>
        <Affiliation>صنعتی اصفهان</Affiliation>
      </Author>
      <Author>
        <FirstName>Nader</FirstName>
        <LastName>Karimi</LastName>
        <Affiliation>Isfahan University of Technology</Affiliation>
      </Author>
    </AuthorList>
    <History PubStatus="received">
      <Year>2014</Year>
      <Month>10</Month>
      <Day>25</Day>
    </History>
    <Abstract>Median filters are commonly used for removal of the impulse noise from images. De-noising is a preliminary step in online processing of images, thus hardware implementation of median filters is of great interest. Hence, many methods, mostly based on sorting the pixels, have been developed to implement median filters. Utilizing vast amount of hardware resources and not being fast are the two main disadvantages of these methods. In this paper a method for filtering images is proposed to reduce the needed hardware elements. A modular pipelined median filter unit is first modeled and then the designed module is used in a parallel structure. Since the image is applied in rows and in a parallel manner, the amount of necessary hardware elements is reduced in comparison with other hardware implementation methods. Also, image filtering speed has increased. Implementation results show that the proposed method has advantageous speed and efficiency.</Abstract>
    <ObjectList>
      <Object Type="Keyword">
        <Param Name="Value">Image Processing</Param>
      </Object>
      <Object Type="Keyword">
        <Param Name="Value">Noise Reduction</Param>
      </Object>
      <Object Type="Keyword">
        <Param Name="Value">Median Filter</Param>
      </Object>
      <Object Type="Keyword">
        <Param Name="Value">Hardware Implementation</Param>
      </Object>
      <Object Type="Keyword">
        <Param Name="Value">FPGA</Param>
      </Object>
    </ObjectList>
    <ArchiveCopySource DocType="Pdf">http://jist.ir/en/Article/Download/14847</ArchiveCopySource>
  </ARTICLE>
</ArticleSet>