A Novel State Space Model with Local Enhancement and State Sharing for Efficient Image Fusion

The proposed LE-Mamba network utilizes a local-enhanced vision Mamba (LEVM) block and a state sharing technique to effectively capture both local and global spatial information as well as spatial-spectral interactions, leading to state-of-the-art performance in image fusion tasks.