1 Ocak 1993 Dergi makalesi Açık Erişim

Cetin, A. Enis; Gerek, Oemer N.; Ulukus, Sennur

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  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/83359</identifier>
  <creators>
    <creator>
      <creatorName>Cetin, A. Enis</creatorName>
      <givenName>A. Enis</givenName>
      <familyName>Cetin</familyName>
      <affiliation>Bilkent Univ, Dept Elect &amp; Elect Engn, TR-06533 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Gerek, Oemer N.</creatorName>
      <givenName>Oemer N.</givenName>
      <familyName>Gerek</familyName>
      <affiliation>Bilkent Univ, Dept Elect &amp; Elect Engn, TR-06533 Ankara, Turkey</affiliation>
    </creator>
    <creator>
      <creatorName>Ulukus, Sennur</creatorName>
      <givenName>Sennur</givenName>
      <familyName>Ulukus</familyName>
      <affiliation>Bilkent Univ, Dept Elect &amp; Elect Engn, TR-06533 Ankara, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Block Wavelet Transforms For Image Coding</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>1993</publicationYear>
  <dates>
    <date dateType="Issued">1993-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Journal article</resourceType>
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    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/83359</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.83358</relatedIdentifier>
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    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
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  <descriptions>
    <description descriptionType="Abstract">In this paper, a new class of block transforms is presented. These transforms are constructed from subband decomposition filter banks corresponding to regular wavelets. New transforms are compared to the discrete cosine transform (DCT). Image coding schemes that employ the block wavelet transform (BWT) are developed. BWT's can be implemented by fast (O(N log N)) algorithms.</description>
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