Image Compression

Image Compression is a specialized form of data compression in digital imaging that encodes image data into a more compact representation by exploiting statistical and perceptual redundancies in the spatial and/or transform domains while maintaining an acceptable level of visual fidelity for storage and transmission.

19.1K

Publications

1.1M

Citations

32.2K

Authors

4.5K

Institutions

Publications per year

2017–2026

4.4K

Authors

32.2K

  1. TE
    Touradj Ebrahimi

    École Polytechnique Fédérale de Lausanne, Switzerland

    107 publications · 8.8K citations

    45

    h-index

  2. TW
    Thomas Wiegand

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    105 publications · 21.9K citations

    44

    h-index

  3. BG
    Bernd Girod

    Stanford University, United States

    105 publications · 7.2K citations

    43

    h-index

  4. SM
    Siwei Ma

    Peking University, China

    121 publications · 5.7K citations

    43

    h-index

  5. CJ
    C.‐C. Jay Kuo

    University of Southern California, United States

    113 publications · 5.2K citations

    39

    h-index

1–5 of 32.2K

Venues

  1. 137

    h-index

  2. IEEE Transactions on Image Processing

    839 publications · 147.7K citations

    135

    h-index

  3. 83

    h-index

  4. IEEE Transactions on Multimedia

    264 publications · 14.4K citations

    60

    h-index

  5. Signal Processing Image Communication

    306 publications · 13.1K citations

    54

    h-index

1–5