Single-image Deblurring

Single-Image Deblurring is a computational image restoration method that specifically addresses the recovery of a sharp, clear image from a single motion-blurred input by estimating and inverting the underlying blur kernel or through end-to-end learning, distinguishing it from multi-frame or video-based deblurring techniques.

144

Publications

10.4K

Citations

413

Authors

184

Institutions

Publications per year

2017–2026

100

Authors

413

  1. WR
    Wenqi Ren

    Chinese Academy of Sciences, China

    6 publications · 599 citations

    6

    h-index

  2. JJ
    Jiaya Jia

    Chinese University of Hong Kong, Hong Kong SAR China

    4 publications · 2K citations

    4

    h-index

  3. ZW
    Zhangyang Wang

    The University of Texas at Austin, United States

    4 publications · 1.3K citations

    4

    h-index

  4. JC
    Jun-Cheng Chen

    University of Maryland, College Park, United States

    3 publications · 213 citations

    3

    h-index

  5. HJ
    Hui Ji

    National University of Singapore, Singapore

    3 publications · 295 citations

    3

    h-index

1–5 of 413

Venues

  1. 8

    h-index

  2. Pattern Recognition

    6 publications · 271 citations

    6

    h-index

  3. The Visual Computer

    3 publications · 123 citations

    5

    h-index

  4. Neurocomputing

    5 publications · 346 citations

    5

    h-index

  5. Optik

    5 publications · 173 citations

    5

    h-index

1–5