Image Restoration

Image Restoration is a subfield of digital image processing that models and inverts degradations such as blur and noise introduced by the imaging system in order to reconstruct an estimate of the original, uncorrupted image from a degraded observation.

17.9K

Publications

1.4M

Citations

34.4K

Authors

5.1K

Institutions

Publications per year

2017–2026

7.5K

Authors

34.4K

  1. MY
    Ming–Hsuan Yang

    University of California, Merced, United States

    68 publications · 18.6K citations

    50

    h-index

  2. LZ
    Lei Zhang

    Hong Kong Polytechnic University, Hong Kong SAR China

    69 publications · 30.4K citations

    48

    h-index

  3. WR
    Wenqi Ren

    Chinese Academy of Sciences, China

    61 publications · 10.7K citations

    45

    h-index

  4. JP
    Jinshan Pan

    Nanjing University of Science and Technology, China

    71 publications · 11.2K citations

    45

    h-index

  5. WZ
    Wangmeng Zuo

    Harbin Institute of Technology, China

    74 publications · 25K citations

    44

    h-index

1–5 of 34.4K

Venues

  1. IEEE Transactions on Image Processing

    1K publications · 201.1K citations

    194

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 188 publications · 69.9K citations

    88

    h-index

  3. IEEE Transactions on Geoscience and Remote Sensing

    254 publications · 26.9K citations

    80

    h-index

  4. IEEE Signal Processing Letters

    227 publications · 18.5K citations

    73

    h-index

  5. 67

    h-index

1–5