Multi-frame Enhancement

Multi-Frame Enhancement is a computational image processing technique that improves the quality of a target image by fusing or analyzing multiple temporally or spatially related frames, distinguishing itself from single-frame methods through the exploitation of complementary information across frames to reduce noise, increase resolution, or restore degraded visual content.

45

Publications

2.9K

Citations

163

Authors

70

Institutions

Publications per year

2017–2026

25

Authors

163

  1. RY
    Ren Yang

    Beihang University, China

    4 publications · 507 citations

    4

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  2. YP
    Yi Pang

    Tianjin Chengjian University, China

    2 publications · 676 citations

    2

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  3. MX
    Mai Xu

    Beihang University, China

    2 publications · 278 citations

    2

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  4. FM
    Fabian Mentzer

    ETH Zurich, Switzerland

    2 publications · 229 citations

    2

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  5. RT
    Radu Timofte

    ETH Zurich, Switzerland

    2 publications · 229 citations

    2

    h-index

1–5 of 163

Venues

  1. 2

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  2. arXiv (Cornell University)

    Repository · 2 publications · 45 citations

    2

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  3. Applied Optics

    AO · 1 publications · 15 citations

    1

    h-index

  4. IPCV

    1 publications · 23 citations

    1

    h-index

  5. IEEE Access

    1 publications · 19 citations

    1

    h-index

1–5