Deconvolution

Deconvolution is a mathematical signal processing technique used to reverse the effects of convolution in imaging, acoustic, geophysical, and seismic systems by recovering the original input signal or image through inversion of a known or estimated system response function.

6.1K

Publications

382.8K

Citations

18K

Authors

3.9K

Institutions

Publications per year

2017–2026

1.5K

Authors

18K

  1. JD
    Johannes D. Veldhuis

    University of Virginia, United States

    61 publications · 4K citations

    34

    h-index

  2. ML
    Michael L. Johnson

    University of Virginia, United States

    23 publications · 2.1K citations

    19

    h-index

  3. MB
    M. Bertero

    University of Genoa, Italy

    21 publications · 1K citations

    17

    h-index

  4. KW
    Kees Wapenaar

    Delft University of Technology, Netherlands

    25 publications · 1.2K citations

    17

    h-index

  5. JS
    Jean‐Luc Starck

    Commissariat à l'Énergie Atomique et aux Énergies Alternatives, France

    15 publications · 1.3K citations

    15

    h-index

1–5 of 18K

Venues

  1. Geophysics

    219 publications · 15.4K citations

    68

    h-index

  2. IEEE Transactions on Image Processing

    90 publications · 7.7K citations

    45

    h-index

  3. IEEE Transactions on Signal Processing

    79 publications · 4.2K citations

    35

    h-index

  4. The Astrophysical Journal

    ApJ · 54 publications · 3.3K citations

    35

    h-index

  5. The Journal of Clinical Endocrinology & Metabolism

    JCEM · 56 publications · 4K citations

    33

    h-index

1–5