Summary of Publicly Available Underwater Image Enhancement Method
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Updated
Feb 8, 2025
Summary of Publicly Available Underwater Image Enhancement Method
[AAAI 2023 Oral] | Underwater Ranker: Learn Which Is Better and How to Be Better (underwater image enhancement + underwater image quality assessment)
Wavelength-based Attributed Deep Neural Network for Underwater Image Restoration
Awesome Underwater Image Enhancement (UIE) Methods
Modern replication of WaterNet from "An Underwater Image Enhancement Benchmark Dataset and Beyond", IEEE TIP 2019
Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement
GAN-based fast underwater image enhancement.
Official Code for "Reti-Diff: Illumination Degradation Image Restoration with Retinex-based Latent Diffusion Model". A SOTA algorithm in low-light image enhancement, underwater image enhancement, and backlit image enhancement.
A Residual and Attention-Driven Underwater Image Enhancement (UIE) method.
Official code for PixMamba
Reimplementation of Underwater Image Enhancement via Medium Transmission-Guided Multi-Color Space Embedding
Enhancing underwater images using a truncated U-Net architecture for real-time color correction applications
Underwater images generally appear greenish & bluish due to scattering & absorption of light. Used image processing techniques to produce output enhanced image having better visibility and contrast.
Research paper Implementation: Natural-based underwater image color enhancement through fusion of swarm-intelligence algorithm
TEBCF: Real-World Underwater Image Texture Enhancement Model Based on Blurriness and Color Fusion
An Underwater Image Vision Enhancement Algorithm Based on Contour Bougie Morphology
[ICASSP 2025] Underwater Image Restoration via Polymorphic Large Kernel CNNs
A list of papers related to underwater imagery.
Enhances underwater images / videos using Deep Image Processing (DIP) techniques like Dark Channel Prior and guided filtering, improving visibility and color accuracy.
[TCSVT] Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis
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