Progressive Image Coding

Progressive Image Coding is a method of image compression in which an image is encoded in multiple passes of increasing refinement, allowing a coarse approximation to be transmitted first and gradually improved by subsequent data layers, thereby enabling early visualization at lower quality and adaptive decoding based on bandwidth or user needs.

324

Publications

15.8K

Citations

723

Authors

299

Institutions

Publications per year

2017–2026

41

Variants

Progressive Image Compression

Authors

723

  1. PC
    Pamela C. Cosman

    University of California San Diego, United States

    10 publications · 261 citations

    10

    h-index

  2. KZ
    K. Zeger

    University of California San Diego, United States

    7 publications · 782 citations

    7

    h-index

  3. CC
    Chin‐Chen Chang

    Feng Chia University, Taiwan

    6 publications · 115 citations

    6

    h-index

  4. PS
    P.G. Sherwood

    University of California San Diego, United States

    6 publications · 770 citations

    6

    h-index

  5. HM
    H.S. Malvar

    Microsoft (United States), United States

    6 publications · 251 citations

    6

    h-index

1–5 of 723

Venues

  1. IEEE Transactions on Image Processing

    30 publications · 4.5K citations

    21

    h-index

  2. 12

    h-index

  3. IEEE Transactions on Communications

    11 publications · 687 citations

    11

    h-index

  4. 11

    h-index

  5. 7

    h-index

1–5