Computational Refocusing

Computational Refocusing is a computational imaging technique that enables the synthesis of alternative focus states in a photographic image after capture by leveraging multi-view or light field data to reconstruct depth-dependent focal adjustments.

42

Publications

4.5K

Citations

152

Authors

80

Institutions

Publications per year

2017–2026

20

Authors

152

  1. AV
    Ashok Veeraraghavan

    Rice University, United States

    4 publications · 1.2K citations

    4

    h-index

  2. RR
    Ramesh Raskar

    Massachusetts Institute of Technology, United States

    3 publications · 945 citations

    3

    h-index

  3. BT
    Brian Thurow

    Auburn University, United States

    3 publications · 93 citations

    3

    h-index

  4. LW
    Laura Waller

    University of California, Berkeley, United States

    2 publications · 149 citations

    2

    h-index

  5. AA
    Amit Agrawal

    National Institute of Standards and Technology, United States

    2 publications · 910 citations

    2

    h-index

1–5 of 152

Venues

  1. Optics Express

    3 publications · 59 citations

    3

    h-index

  2. Journal of Electronic Imaging

    2 publications · 24 citations

    2

    h-index

  3. IEEE Transactions on Computational Imaging

    2 publications · 73 citations

    2

    h-index

  4. Optics Communications

    2 publications · 34 citations

    2

    h-index

  5. Journal of Magnetic Resonance

    JMR · 1 publications · 110 citations

    1

    h-index

1–5