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
Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement
Modern replication of WaterNet from "An Underwater Image Enhancement Benchmark Dataset and Beyond", IEEE TIP 2019
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.
GAN-based fast underwater 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.
[TCSVT] Underwater Image Restoration Through a Prior Guided Hybrid Sense Approach and Extensive Benchmark Analysis
Enhances underwater images / videos using Deep Image Processing (DIP) techniques like Dark Channel Prior and guided filtering, improving visibility and color accuracy.
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