LGFusion: Frequency-Aware Dual-Branch Integration Network for Infrared and Visible Image Fusion
Multimodal image fusion aims to generate a fused image that integrates complementary advantages from different modalities, for example, target saliency from infrared images and texture details from visible images. However, existing methods struggle to jointly model global and local features, separat...
Saved in:
Main Authors: | Ruizhe Shang, Jianan Liu, Xinhuai Wang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2025-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/11025839/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Infrared and Visible Image Fusion via Residual Interactive Transformer and Cross-Attention Fusion
by: Liquan Zhao, et al.
Published: (2025-07-01) -
Infrared and visible image fusion based on multi-scale transform and sparse low-rank representation
by: Yangkun Zou, et al.
Published: (2025-07-01) -
MFF: A Deep Learning Model for Multi-Modal Image Fusion Based on Multiple Filters
by: Yuequn Wang, et al.
Published: (2025-01-01) -
Underground personnel recognition based on low-light enhancement of infrared and visible light image fusion
by: NAN Jingjing, et al.
Published: (2025-04-01) -
Software tool for processing and selecting objects in infrared images
by: V. A. Rybak, et al.
Published: (2023-02-01)