Infrared and Visible Image Fusion Using a State-Space Adversarial Model with Cross-Modal Dependency Learning

Infrared and Visible Image Fusion Using a State-Space Adversarial Model with Cross-Modal Dependency Learning

Infrared and visible image fusion plays a critical role in multimodal perception systems, particularly under challenging conditions such as low illumination, occlusion, or complex backgrounds. However, existing approaches often struggle with global feature modelling, cross-modal dependency learning,...

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Bibliographic Details
Main Authors: Qingqing Hu, Yiran Peng, KinTak U, Siyuan Zhao
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Mathematics
Subjects:
image fusion
state-space model
adversarial network
deep learning
Online Access:https://www.mdpi.com/2227-7390/13/15/2333
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