Hybrid Image Compression

Hybrid Image Compression is a type of image compression methodology that integrates multiple distinct compression techniques—such as combining predictive coding with transform coding or lossless and lossy approaches—within a unified framework to enhance compression efficiency, image quality, or adaptability beyond the capabilities of单一 methods.

157

Publications

5.3K

Citations

397

Authors

174

Institutions

Publications per year

2017–2026

41

Authors

397

  1. TW
    Thomas Wiegand

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    4 publications · 471 citations

    4

    h-index

  2. HB
    H. B. Kekre

    Narsee Monjee Institute of Management Studies, India

    3 publications · 92 citations

    3

    h-index

  3. SD
    Sudeep D. Thepade

    Savitribai Phule Pune University, India

    3 publications · 68 citations

    3

    h-index

  4. TS
    Tanuja Sarode

    Narsee Monjee Institute of Management Studies, India

    3 publications · 92 citations

    3

    h-index

  5. HS
    Heiko Schwarz

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    2 publications · 47 citations

    2

    h-index

1–5 of 397

Venues

  1. 9

    h-index

  2. IEEE Transactions on Image Processing

    6 publications · 287 citations

    6

    h-index

  3. 5

    h-index

  4. Signal Processing Image Communication

    4 publications · 184 citations

    4

    h-index

  5. IRE Transactions on Communications Systems

    3 publications · 75 citations

    3

    h-index

1–5