Dynamic Scene Deblurring

Dynamic Scene Deblurring is a computational imaging method that restores sharpness to motion-blurred images by estimating and inverting the non-uniform blur kernels arising from complex, multi-object motion within a scene.

52

Publications

5.8K

Citations

149

Authors

70

Institutions

Publications per year

2017–2026

40

Authors

149

  1. KM
    Kyoung Mu Lee

    Seoul National University, South Korea

    7 publications · 2.9K citations

    7

    h-index

  2. JP
    Jinshan Pan

    Nanjing University of Science and Technology, China

    6 publications · 692 citations

    6

    h-index

  3. TH
    Tae Hyun Kim

    Soonchunhyang University, South Korea

    5 publications · 2.8K citations

    5

    h-index

  4. JZ
    Jiawei Zhang

    Group Sense (China), China

    5 publications · 636 citations

    5

    h-index

  5. SN
    Seungjun Nah

    Seoul National University, South Korea

    4 publications · 2.4K citations

    4

    h-index

1–5 of 149

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 102 citations

    5

    h-index

  2. IEEE Transactions on Image Processing

    5 publications · 337 citations

    5

    h-index

  3. 3

    h-index

  4. Neurocomputing

    2 publications · 38 citations

    2

    h-index

  5. 2

    h-index

1–5