Multi-frame Image Reconstruction

Multi-Frame Image Reconstruction is a computational imaging technique that synthesizes a single high-quality image from multiple degraded or noisy observations of the same scene, distinguished by its reliance on temporal redundancy and alignment across frames to enhance resolution, dynamic range, or signal fidelity beyond the capabilities of single-frame processing.

93

Publications

5.3K

Citations

301

Authors

143

Institutions

Publications per year

2017–2026

32

Authors

301

  1. RC
    Russell C. Hardie

    University of Dayton, United States

    5 publications · 303 citations

    5

    h-index

  2. AL
    Amine Laghrib

    Université Sultan Moulay Slimane, Morocco

    4 publications · 208 citations

    4

    h-index

  3. AH
    Abdelilah Hakim

    Cadi Ayyad University, Morocco

    4 publications · 202 citations

    4

    h-index

  4. JG
    John G. Bognar

    University of Dayton, United States

    3 publications · 218 citations

    3

    h-index

  5. AM
    Andreas Maier

    Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

    2 publications · 179 citations

    2

    h-index

1–5 of 301

Venues

  1. 5

    h-index

  2. Signal Processing

    5 publications · 462 citations

    5

    h-index

  3. Optics Express

    4 publications · 138 citations

    4

    h-index

  4. Neurocomputing

    3 publications · 44 citations

    3

    h-index

  5. Journal of the Optical Society of America A

    3 publications · 112 citations

    3

    h-index

1–5