Non-blind Deblurring

Non-Blind Deblurring is a computational image restoration technique that belongs to the class of motion deblurring methods, distinguished by its explicit use of a known or estimated blur kernel to recover a sharp image from a blurred input.

73

Publications

4.1K

Citations

204

Authors

95

Institutions

Publications per year

2017–2026

43

Authors

204

  1. SR
    Stefan Roth

    Technische Universität Darmstadt, Germany

    7 publications · 509 citations

    7

    h-index

  2. JP
    Jinshan Pan

    Nanjing University of Science and Technology, China

    5 publications · 244 citations

    5

    h-index

  3. HJ
    Hui Ji

    National University of Singapore, Singapore

    4 publications · 212 citations

    4

    h-index

  4. JD
    Jiangxin Dong

    Nanjing University of Science and Technology, China

    4 publications · 196 citations

    4

    h-index

  5. BS
    Bernt Schiele

    Max Planck Institute for Informatics, Germany

    3 publications · 172 citations

    3

    h-index

1–5 of 204

Venues

  1. IEEE Transactions on Image Processing

    8 publications · 387 citations

    8

    h-index

  2. 3

    h-index

  3. IEEE Access

    2 publications · 33 citations

    3

    h-index

  4. arXiv (Cornell University)

    Repository · 3 publications · 123 citations

    3

    h-index

  5. 3

    h-index

1–5