Wavelet-based Compression

Wavelet-Based Compression is a signal and image compression technique that relies on wavelet transforms to sparsely represent data by decomposing signals into multi-resolution components, thereby enabling efficient quantization and coding of significant coefficients while discarding perceptually irrelevant information.

1K

Publications

45.9K

Citations

2.3K

Authors

843

Institutions

Publications per year

2017–2026

90

Authors

2.3K

  1. JE
    James E. Fowler

    Mississippi State University, United States

    13 publications · 821 citations

    11

    h-index

  2. AM
    Adrian Munteanu

    Vrije Universiteit Brussel, Belgium

    10 publications · 503 citations

    10

    h-index

  3. KR
    Kannan Ramchandran

    University of California, Berkeley, United States

    10 publications · 774 citations

    10

    h-index

  4. WA
    William A. Pearlman

    Rensselaer Polytechnic Institute, United States

    12 publications · 1.1K citations

    10

    h-index

  5. MA
    Marc Antonini

    Centre National de la Recherche Scientifique, France

    10 publications · 247 citations

    10

    h-index

1–5 of 2.3K

Venues

  1. IEEE Transactions on Image Processing

    48 publications · 4.9K citations

    31

    h-index

  2. 23

    h-index

  3. 21

    h-index

  4. IEEE Signal Processing Letters

    15 publications · 581 citations

    14

    h-index

  5. IEEE Transactions on Signal Processing

    12 publications · 1.2K citations

    12

    h-index

1–5