Image Deblurring

Image Deblurring is an inverse problem methodology in image reconstruction that specifically aims to recover a sharp, latent image from a blurred observation by modeling and inverting the underlying degradation process, typically characterized by a point spread function.

1.8K

Publications

150.7K

Citations

4.2K

Authors

1.3K

Institutions

Publications per year

2017–2026

845

Authors

4.2K

  1. MY
    Ming–Hsuan Yang

    University of California, Merced, United States

    41 publications · 9.8K citations

    34

    h-index

  2. JP
    Jinshan Pan

    Nanjing University of Science and Technology, China

    45 publications · 5.8K citations

    32

    h-index

  3. TZ
    Tieyong Zeng

    Chinese University of Hong Kong, Hong Kong SAR China

    18 publications · 1.1K citations

    18

    h-index

  4. WZ
    Wangmeng Zuo

    Harbin Institute of Technology, China

    19 publications · 4.7K citations

    18

    h-index

  5. WR
    Wenqi Ren

    Chinese Academy of Sciences, China

    19 publications · 2.5K citations

    17

    h-index

1–5 of 4.2K

Venues

  1. IEEE Transactions on Image Processing

    119 publications · 14.7K citations

    55

    h-index

  2. IEEE Transactions on Pattern Analysis and Machine Intelligence

    TPAMI · 35 publications · 5.5K citations

    31

    h-index

  3. arXiv (Cornell University)

    Repository · 55 publications · 2.3K citations

    24

    h-index

  4. Neurocomputing

    44 publications · 1.5K citations

    23

    h-index

  5. SIAM Journal on Imaging Sciences

    SIIMS · 26 publications · 16.8K citations

    22

    h-index

1–5