DPAFD-net: A dual-path adaptive fusion dehazing network

Chenyang Zhang, Hongyuan Jing, Shuang Wei, Jiaxing Chen, Xinna Shang, Aidong Chen

Abstract: Highlights•A two-branch end-to-end dehazing network is proposed, which can solve the imbalances weight distribution problem between the detail and structural features.•Coordinate channel attention module is employed to extract the structural features and the dense pixel attention modules is employed to extract the detail features.•Extensive experiments are conducted on both synthetic and real-world dataset and performed well.