Region-based Image Fusion

Region-Based Image Fusion is a type of image fusion method that operates by partitioning source images into distinct regions based on spatial or feature-domain homogeneity and then combining them through region-level analysis to preserve structurally significant information in the fused output.

161

Publications

13K

Citations

471

Authors

169

Institutions

Publications per year

2017–2026

52

Authors

471

  1. XB
    Xiangzhi Bai

    Beihang University, China

    5 publications · 191 citations

    5

    h-index

  2. NC
    Nedeljko Cvejic

    University of Oulu, Finland

    5 publications · 332 citations

    5

    h-index

  3. NC
    Nishan Canagarajah

    University of Bristol, United Kingdom

    5 publications · 1.2K citations

    5

    h-index

  4. XZ
    Xuejie Zhang

    Yunnan University, China

    4 publications · 118 citations

    4

    h-index

  5. TZ
    Tanish Zaveri

    Nirma University, India

    4 publications · 68 citations

    4

    h-index

1–5 of 471

Venues

  1. Information Fusion

    17 publications · 5.7K citations

    16

    h-index

  2. Infrared Physics & Technology

    5 publications · 151 citations

    5

    h-index

  3. Optik

    4 publications · 160 citations

    4

    h-index

  4. Expert Systems with Applications

    3 publications · 186 citations

    3

    h-index

  5. Archives of Computational Methods in Engineering

    ARCME · 3 publications · 422 citations

    3

    h-index

1–5