Progressive Compression

Progressive Compression is a data compression technique that generates a compressed representation in multiple passes or layers, where each subsequent pass incrementally refines the reconstruction quality, thereby distinguishing itself from single-pass compression methods by enabling gradual decoding and quality improvement.

189

Publications

8.6K

Citations

523

Authors

216

Institutions

Publications per year

2017–2026

28

Variants

Progressive Data Compression

Authors

523

  1. GL
    Guillaume Lavoué

    Centre National de la Recherche Scientifique, France

    7 publications · 365 citations

    7

    h-index

  2. FD
    Florent Dupont

    Centre National de la Recherche Scientifique, France

    6 publications · 203 citations

    6

    h-index

  3. WA
    William A. Pearlman

    Rensselaer Polytechnic Institute, United States

    5 publications · 101 citations

    5

    h-index

  4. ZX
    Zixiang Xiong

    Texas A&M University, United States

    4 publications · 90 citations

    4

    h-index

  5. CK
    Chang‐Su Kim

    Korea University, South Korea

    3 publications · 47 citations

    4

    h-index

1–5 of 523

Venues

  1. IEEE Transactions on Image Processing

    9 publications · 556 citations

    9

    h-index

  2. 6

    h-index

  3. 5

    h-index

  4. The Visual Computer

    4 publications · 95 citations

    4

    h-index

  5. IEEE Transactions on Communications

    3 publications · 129 citations

    3

    h-index

1–5