@article{51f4893e7c904365908924bc09fdf3f2,
title = "CGMRF: CLIP-guide multimodal registration and fusion for a visible–infrared dual-modality imaging system",
abstract = "In this Letter, we propose CLIP-guided multimodal registration and fusion (CGMRF), a semantic understanding-based multimodal image fusion system, for visible and infrared (IR) dual-modality imaging. CGMRF leverages semantic similarity, better aligned with human visual interpretation, to address the challenges of multimodal image registration and fusion. Experimental results across multiple metrics demonstrate the advantages of the proposed CGMRF system.",
author = "Wenqu Zhao and Lingxue Wang and Lian Zhang and Dezhi Zheng and Yi Cai",
note = "Publisher Copyright: {\textcopyright} 2025 Optica Publishing Group. All rights, including for text and data mining (TDM), Artificial Intelligence (AI) training, and similar technologies, are reserved.",
year = "2025",
month = jun,
day = "15",
doi = "10.1364/OL.558572",
language = "English",
volume = "50",
pages = "3907--3910",
journal = "Optics Letters",
issn = "0146-9592",
publisher = "Optica Publishing Group",
number = "12",
}