7 papers
Multi-modality Image Fusion under Adverse Weather: Mask-Guided Feature Restoration and Interaction
Xilai Li, Xiaosong Li, Haishu Tan +3
Multi-modality image fusion (MMIF) enhances scene representation by exploiting complementary cues from different modalities. Adverse weather, however, causes significant image degr…
MAVFusion: Efficient Infrared and Visible Video Fusion via Motion-Aware Sparse Interaction
Xilai Li, Weijun Jiang, Xiaosong Li +5
Infrared and visible video fusion combines the object saliency from infrared images with the texture details from visible images to produce semantically rich fusion results. Howeve…
A Luminance-Aware Multi-Scale Network for Polarization Image Fusion with a Multi-Scene Dataset
Zhuangfan Huang, Xiaosong Li, Gao Wang +3
Polarization image fusion combines S0 and DOLP images to reveal surface roughness and material properties through complementary texture features, which has important applications i…
CAWM-Mamba: A unified model for infrared-visible image fusion and compound adverse weather restoration
Huichun Liu, Xiaosong Li, Zhuangfan Huang +3
Multimodal Image Fusion (MMIF) integrates complementary information from various modalities to produce clearer and more informative fused images. MMIF under adverse weather is part…
JDPNet: A Network Based on Joint Degradation Processing for Underwater Image Enhancement
Tao Ye, Hongbin Ren, Chongbing Zhang +2
Given the complexity of underwater environments and the variability of water as a medium, underwater images are inevitably subject to various types of degradation. The degradations…
UMCFuse: A Unified Multiple Complex Scenes Infrared and Visible Image Fusion Framework
Xilai Li, Xiaosong Li, Tianshu Tan +2
Infrared and visible image fusion has emerged as a prominent research area in computer vision. However, little attention has been paid to the fusion task in complex scenes, leading…