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In recent years, with the continuous development of the marine industry,underwater image enhancement has attracted plenty of attention. Unfortunately,the propagation of light in water will be absorbed by water bodies andscattered by suspended particles, resulting in color deviation and lowcontrast. To solve these two problems, we propose an Adaptive Transmission andDynamic Color guided network (named ATDCnet) for underwater image enhancement.In particular, to exploit the knowledge of physics, we design an AdaptiveTransmission-directed Module (ATM) to better guide the network. To deal withthe color deviation problem, we design a Dynamic Color-guided Module (DCM) topost-process the enhanced image color. Further, we design anEncoder-Decoder-based Compensation (EDC) structure with attention and amulti-stage feature fusion mechanism to perform color restoration and contrastenhancement simultaneously. Extensive experiments demonstrate thestate-of-the-art performance of the ATDCnet on multiple benchmark datasets.

Transmission and Color-guided Network for Underwater Image Enhancement