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Underwater Image Restoration via Contrastive Learning and a Real-World Dataset
2022
Remote Sensing
Underwater image restoration is of significant importance in unveiling the underwater world. Numerous techniques and algorithms have been developed in recent decades. However, due to fundamental difficulties associated with imaging/sensing, lighting, and refractive geometric distortions in capturing clear underwater images, no comprehensive evaluations have been conducted with regard to underwater image restoration. To address this gap, we constructed a large-scale real underwater image
doi:10.3390/rs14174297
fatcat:xpg3n5xtp5hyjc74awlll7mlgq