Super-resolution Imaging

Super-Resolution Imaging is a digital image processing technique that belongs to the class of resolution enhancement methods, distinguished by its ability to reconstruct high-resolution acoustic images from low-resolution inputs through the incorporation of prior knowledge, signal modeling, or machine learning-driven interpolation.

4.1K

Publications

305K

Citations

14K

Authors

2.7K

Institutions

Publications per year

2017–2026

2.6K

Authors

14K

  1. RT
    Radu Timofte

    ETH Zurich, Switzerland

    39 publications · 9.2K citations

    27

    h-index

  2. CD
    Chao Dong

    Shenzhen Institutes of Advanced Technology, China

    26 publications · 14.7K citations

    23

    h-index

  3. XG
    Xinbo Gao

    Xidian University, China

    30 publications · 1.9K citations

    22

    h-index

  4. MH
    Mike Heilemann

    Goethe University Frankfurt, Germany

    22 publications · 2.7K citations

    21

    h-index

  5. PX
    Peng Xi

    Peking University, China

    20 publications · 2.3K citations

    20

    h-index

1–5 of 14K

Venues

  1. IEEE Transactions on Image Processing

    108 publications · 14.8K citations

    54

    h-index

  2. Nature Communications

    77 publications · 8.9K citations

    52

    h-index

  3. 44

    h-index

  4. Scientific Reports

    93 publications · 4.8K citations

    42

    h-index

  5. Optics Express

    117 publications · 5.6K citations

    41

    h-index

1–5