Pyramid-based Image Fusion

Pyramid-Based Image Fusion is a multi-scale image fusion technique that decomposes input images into a hierarchical pyramid structure—such as Laplacian, Gaussian, or wavelet pyramids—to selectively combine spatial frequency components across levels, thereby preserving both global structure and local details in the fused output.

75

Publications

5K

Citations

249

Authors

127

Institutions

Publications per year

2017–2026

38

Authors

249

  1. ZL
    Zhengguo Li

    Institute for Infocomm Research, Singapore

    3 publications · 221 citations

    3

    h-index

  2. WC
    Weihai Chen

    Beihang University, China

    2 publications · 205 citations

    2

    h-index

  3. MJ
    Ming Jing Li

    Changchun University, China

    2 publications · 30 citations

    2

    h-index

  4. CW
    Changyun Wen

    Nanyang Technological University, Singapore

    2 publications · 205 citations

    2

    h-index

  5. YZ
    Yufeng Zheng

    Peking University, China

    2 publications · 89 citations

    2

    h-index

1–5 of 249

Venues

  1. 4

    h-index

  2. Optical Engineering

    3 publications · 220 citations

    3

    h-index

  3. IET Image Processing

    3 publications · 140 citations

    3

    h-index

  4. Pattern Recognition Letters

    3 publications · 912 citations

    3

    h-index

  5. Signal Image and Video Processing

    2 publications · 41 citations

    2

    h-index

1–5