Phase-Aware Contrastive Learning for Sonar Image Restoration via Spatial–Frequency Fusion (opens in new tab)

Sonar systems employing underwater acoustic communications serve as critical remote-sensing technologies for deep-ocean monitoring and exploration. However, when transmitted, the sonar images (SIs) are prone to compound degradations at the receiving end, manifested as global blurring, block artifacts, and even information loss. These degradations, caused by compressed data loss and channel-induced deterioration, differ fundamentally from imaging-stage distortions such as seabed reverberation ...