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arXiv · 2608.07848

IRPol-Fuse: Energy-structure coordination for infrared polarization fusion under low visibility

Zhuangfan Huang·Chusheng Fang·Xiaosong Li·Yang Liua·Xiaoqi Cheng·Haishu Tan
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Abstract

Robust perception under low-visibility conditions requires fused imagery that jointly preserves infrared thermal saliency and polarization-derived structural details. However, existing infrared-polarization image fusion (IPIF) methods often overemphasize dominant infrared responses, causing weak yet informative polarization textures in dark regions to be suppressed. To address this issue, we propose IRPol-Fuse, an energy-structure coordinated IPIF framework for challenging low-visibility scenarios. The proposed framework contains three key modules: Polarization Attention Fusion for adaptive infrared-polarization allocation, Infrared Highlight Injector for highlight-guided infrared preservation, and Polarization Texture Injector for polarization texture restoration and fine-detail recovery. We further construct LI-PI, a dedicated infrared-polarization evaluation dataset for low-visibility and visually concealed scenes. Experiments on LI-PI and the public LDDRS dataset demonstrate that IRPol-Fuse achieves favorable performance in thermal target preservation, structural detail recovery, and visual naturalness. Region-aware evaluation and downstream object detection further verify that the proposed energy-structure coordination strategy effectively preserves both infrared target saliency and polarization-derived structural information. Code is available at https://github.com/1hzf/IRPolar-Fuse .

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Zhuangfan Huang, Chusheng Fang, Xiaosong Li, Yang Liua, Xiaoqi Cheng, Haishu Tan. 2026-08-08. IRPol-Fuse: Energy-structure coordination for infrared polarization fusion under low visibility. https://doi.org/10.1016/j.infrared.2026.106788

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