Transform Coding

Transform Coding is a lossy data compression method that belongs to the class of source coding techniques, in which the input signal is first transformed into a different mathematical domain to concentrate its energy into fewer coefficients, thereby enabling efficient quantization and entropy coding of the resulting representation.

1.2K

Publications

61.9K

Citations

2.3K

Authors

727

Institutions

Publications per year

2017–2026

125

Authors

2.3K

  1. HM
    H.S. Malvar

    Microsoft (United States), United States

    14 publications · 2.3K citations

    14

    h-index

  2. AO
    Antonio Ortega

    University of Southern California, United States

    18 publications · 565 citations

    13

    h-index

  3. TW
    Thomas Wiegand

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    13 publications · 501 citations

    12

    h-index

  4. MV
    Martin Vetterli

    École Polytechnique Fédérale de Lausanne, Switzerland

    12 publications · 1K citations

    12

    h-index

  5. HS
    Heiko Schwarz

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    12 publications · 383 citations

    12

    h-index

1–5 of 2.3K

Venues

  1. 47

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  2. IEEE Transactions on Image Processing

    77 publications · 9.4K citations

    37

    h-index

  3. 22

    h-index

  4. IRE Transactions on Communications Systems

    29 publications · 2.1K citations

    21

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  5. IEEE Transactions on Communications

    26 publications · 1.5K citations

    20

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1–5