Aug 2026· The Visual Computer· Vol 42· 0 citations· 96 references
TL;DR
This survey reviews recent progress in infrared–visible image fusion, with emphasis on deep learning methods published between 2018 and 2025, and outlines future directions towards robust, interpretable and resource-efficient fusion systems supported by transparent search protocols, community benchmarks, reproducible comparisons and application-specific evaluation.
A Lighting-Aware Spatial–Frequency Fusion Network (LASFNet) for security surveillance, which balances target saliency and scene structure, providing more effective visual input for object detection under complex illumination.
Yi Jiang, Xin Nie, Imad Rida· Algorithms· 0 citations
MRCDFusion, an unsupervised infrared–visible image fusion network based on residual conditional diffusion and Transformer refinement, achieves particularly strong performance in gradient- and edge-related metrics while remaining competitive in visual information fidelity and cross-modal correlation metrics.
Si-Rui Huang, Lin Tian, Yao Zhang· Electronics· 0 citations
A knowledge distillation-based training strategy, together with a structural consistency constraint, is introduced to enhance the fusion quality of the lightweight model by guiding the student network to inherit discriminative representations from the teacher model while preserving a compact architecture.
Wenkuan Xie, Weiguo Pan, Jian-Cheng Zhang et al.· International Conference on...· 0 citations
Infrared and visible image fusion is pivotal for robust visual perception across all weather conditions and scenes. Although deep learning-based methods have made notable progress, most either assume pre-aligned inputs or rely on implicit feature-space alignment, which fails to fundamentally address the amplification o...
Jin-Yuan Liu, Zengxi Zhang, Jiahao Zhang et al.· IEEE Transactions on Pattern...· 1 citation
The effectiveness of AQFS-Net is demonstrated in improving dual-modal fusion quality and detection performance under challenging visual conditions, providing a practical reference for visible-infrared object detection in complex illumination scenarios.
A lightweight end-to-end IVIF network with two complementary refinement modules that achieves the best or tied-best value on three of seven standard fusion-quality metrics on FMB and four of seven on LLVIP, and ablation results further confirm the complementary effects of MSG and DGM.
Wenhua Zhao, Lei Zhong· Applied Sciences· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.
