Image Denoising

Image Denoising is a computational method within image preprocessing that specifically aims to remove noise from degraded images while preserving structural details, thereby enhancing image quality for subsequent analysis or reconstruction.

6.6K

Publications

488K

Citations

14.3K

Authors

3.1K

Institutions

Publications per year

2017–2026

2.6K

Authors

14.3K

  1. LZ
    Lei Zhang

    Hong Kong Polytechnic University, Hong Kong SAR China

    34 publications · 21.6K citations

    30

    h-index

  2. ME
    Michael Elad

    Technion – Israel Institute of Technology, Israel

    42 publications · 14K citations

    28

    h-index

  3. WZ
    Wangmeng Zuo

    Harbin Institute of Technology, China

    32 publications · 19.2K citations

    27

    h-index

  4. KE
    Karen Egiazarian

    42 publications · 14K citations

    26

    h-index

  5. PM
    Peyman Milanfar

    University of California, Santa Cruz, United States

    33 publications · 6.2K citations

    26

    h-index

1–5 of 14.3K

Venues

  1. IEEE Transactions on Image Processing

    409 publications · 96.1K citations

    123

    h-index

  2. IEEE Signal Processing Letters

    113 publications · 11.7K citations

    57

    h-index

  3. IEEE Transactions on Geoscience and Remote Sensing

    109 publications · 11.5K citations

    55

    h-index

  4. arXiv (Cornell University)

    Repository · 182 publications · 8.1K citations

    43

    h-index

  5. SIAM Journal on Imaging Sciences

    SIIMS · 68 publications · 22.6K citations

    42

    h-index

1–5