Scalable Image Compression

Scalable Image Compression is a method of image compression that enables the reconstruction of images at multiple quality levels or resolutions from a single compressed bitstream, distinguishing itself by supporting progressive decoding and adaptive quality recovery without requiring full decompression.

252

Publications

11.3K

Citations

689

Authors

248

Institutions

Publications per year

2017–2026

40

Variants

Progressive Image Compression

Authors

689

  1. DT
    David Taubman

    UNSW Sydney, Australia

    15 publications · 2.7K citations

    12

    h-index

  2. WG
    Wen Gao

    Peking University, China

    7 publications · 226 citations

    7

    h-index

  3. MW
    Michael W. Marcellin

    University of Arizona, United States

    6 publications · 361 citations

    6

    h-index

  4. SL
    Shipeng Li

    Microsoft Research Asia (China), China

    5 publications · 146 citations

    5

    h-index

  5. HS
    Heiko Schwarz

    Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute, Germany

    5 publications · 432 citations

    5

    h-index

1–5 of 689

Venues

  1. 17

    h-index

  2. IEEE Transactions on Image Processing

    14 publications · 2.5K citations

    13

    h-index

  3. 10

    h-index

  4. IEEE Transactions on Multimedia

    9 publications · 234 citations

    9

    h-index

  5. 6

    h-index

1–5