Wavelet-based Filtering

Wavelet-Based Filtering is a signal processing technique that belongs to the class of image filtering methods, distinguished by its use of wavelet transforms to selectively modify coefficients across multiple scales and frequencies for noise reduction or feature enhancement.

923

Publications

41.4K

Citations

2.6K

Authors

1.1K

Institutions

Publications per year

2017–2026

181

Authors

2.6K

  1. UR
    U. Rajendra Acharya

    Ngee Ann Polytechnic, Singapore

    6 publications · 485 citations

    6

    h-index

  2. JS
    Jean‐Luc Starck

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

    6 publications · 1K citations

    6

    h-index

  3. MS
    Manish Sharma

    Institute of Infrastructure Technology Research and Management, India

    5 publications · 421 citations

    5

    h-index

  4. IS
    Ivan Selesnick

    New York University, United States

    5 publications · 641 citations

    5

    h-index

  5. RK
    Roberto Kawakami Harrop Galvão

    Instituto Tecnológico de Aeronáutica, Brazil

    4 publications · 75 citations

    4

    h-index

1–5 of 2.6K

Venues

  1. IEEE Transactions on Signal Processing

    19 publications · 1.9K citations

    15

    h-index

  2. 14

    h-index

  3. Applied Optics

    12 publications · 232 citations

    11

    h-index

  4. Signal Processing

    12 publications · 357 citations

    11

    h-index

  5. Measurement

    11 publications · 421 citations

    11

    h-index

1–5