Denoising

Denoising is a signal enhancement method that distinguishes itself by selectively attenuating irrelevant or structured noise components from acquired data while preserving biologically or physically meaningful signals in the context of Acoustic Signal Processing, Digital Image Processing, Single-Cell Clustering, and Single-Cell Transcriptomics.

7.3K

Publications

484.2K

Citations

18.7K

Authors

3.5K

Institutions

Publications per year

2017–2026

4.1K

Authors

18.7K

  1. LZ
    Lei Zhang

    Hong Kong Polytechnic University, Hong Kong SAR China

    35 publications · 19K citations

    29

    h-index

  2. WZ
    Wangmeng Zuo

    Harbin Institute of Technology, China

    33 publications · 19.4K citations

    27

    h-index

  3. ME
    Michael Elad

    Technion – Israel Institute of Technology, Israel

    43 publications · 13.3K citations

    26

    h-index

  4. YC
    Yangkang Chen

    China University of Petroleum, Beijing, China

    30 publications · 2.6K citations

    24

    h-index

  5. AF
    Alessandro Foi

    30 publications · 14.6K citations

    22

    h-index

1–5 of 18.7K

Venues

  1. IEEE Transactions on Image Processing

    276 publications · 71.4K citations

    102

    h-index

  2. IEEE Transactions on Geoscience and Remote Sensing

    145 publications · 12.8K citations

    59

    h-index

  3. IEEE Signal Processing Letters

    93 publications · 8.5K citations

    48

    h-index

  4. arXiv (Cornell University)

    Repository · 272 publications · 9.8K citations

    46

    h-index

  5. IEEE Access

    154 publications · 7.6K citations

    45

    h-index

1–5