SFDNet: spatial-frequency decoupled network for infrared and visible image fusion
A novel spatial-frequency decoupled learning framework, termed spatial-frequency decoupled network (SFDNet), which decomposes features into low-frequency semantic structures and high-frequency detail components for independent representation learning and adaptive fusion is proposed.