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Comparison of different image subband coding methods at low bit rates.

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Τίτλος: Comparison of different image subband coding methods at low bit rates.
Συγγραφείς: Weixing Zhang, Fischer, Thomas R.
Πηγή: IEEE Transactions on Circuits & Systems for Video Technology; Apr99, Vol. 9 Issue 3, p419, 5p, 2 Black and White Photographs, 6 Charts
Θεματικοί όροι: Coding theory, Image compression
Περίληψη: Compares several image subband coding methods at low bit rates. Granular gain provided by trellis-coded quantization (TCQ); Achievement of peak signal-to-noise ratio using the zone-tree TCQ; Compression efficiency of the coding methods.
Βάση Δεδομένων: Complementary Index
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Header DbId: edb
DbLabel: Complementary Index
An: 1791937
RelevancyScore: 819
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 818.93701171875
IllustrationInfo
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  Data: IEEE Transactions on Circuits & Systems for Video Technology; Apr99, Vol. 9 Issue 3, p419, 5p, 2 Black and White Photographs, 6 Charts
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  Data: Compares several image subband coding methods at low bit rates. Granular gain provided by trellis-coded quantization (TCQ); Achievement of peak signal-to-noise ratio using the zone-tree TCQ; Compression efficiency of the coding methods.
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1109/76.754771
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 5
        StartPage: 419
    Subjects:
      – SubjectFull: Coding theory
        Type: general
      – SubjectFull: Image compression
        Type: general
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      – TitleFull: Comparison of different image subband coding methods at low bit rates.
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            NameFull: Weixing Zhang
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            NameFull: Fischer, Thomas R.
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            – D: 01
              M: 04
              Text: Apr99
              Type: published
              Y: 1999
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              Value: 9
            – Type: issue
              Value: 3
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            – TitleFull: IEEE Transactions on Circuits & Systems for Video Technology
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