Summary of Publicly Available Underwater Image Enhancement Method
MambaCoral-DiffDet code and Dataset
[ICASSP 2025] Underwater Image Restoration via Polymorphic Large Kernel CNNs
[TCSVT] Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis
A Real-time Underwater Image Enhancement Algorithm.
[DSAA 2024] UIE-UnFold: Deep Unfolding Network with Color Priors and Vision Transformer for Underwater Image Enhancement
Underwater object detection and realtime inferencing and distance mapping using yolov11 and intelrealsense d435i. Model trained on a custom dataset created in controlled conditions.
End-to-end machine learning platform for underwater computer vision and marine robotic autonomy.
EdgeOSA-Underwater-Vision-Enhancement is a lightweight deep learning framework for underwater image enhancement designed for high restoration quality and real time deployment. The proposed EdgeOSAEnhancer architecture integrates OSA aggregation, depthwise separable convolutions, channel shuffle, shift operations, and attention mechanisms.
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