Residual Coding

Residual Coding is a source coding technique that belongs to the class of predictive coding methods, distinguished by its encoding of the difference between the original signal and its prediction to achieve efficient data compression.

305

Publications

10K

Citations

738

Authors

270

Institutions

Publications per year

2017–2026

66

Authors

738

  1. TW
    Thomas Wiegand

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    15 publications · 737 citations

    14

    h-index

  2. SL
    Shan Liu

    Peking University, China

    11 publications · 498 citations

    10

    h-index

  3. DM
    Detlev Marpe

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    9 publications · 383 citations

    9

    h-index

  4. HS
    Heiko Schwarz

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    9 publications · 340 citations

    9

    h-index

  5. SM
    Siwei Ma

    Peking University, China

    7 publications · 142 citations

    7

    h-index

1–5 of 738

Venues

  1. 22

    h-index

  2. IEEE Transactions on Image Processing

    23 publications · 1K citations

    19

    h-index

  3. Signal Processing Image Communication

    10 publications · 223 citations

    10

    h-index

  4. IEEE Transactions on Multimedia

    7 publications · 246 citations

    7

    h-index

  5. IEEE Transactions on Broadcasting

    8 publications · 228 citations

    7

    h-index

1–5