A pytorch version of Underwater GAN

Fast underwater image enhancement for Improved Visual Perception. #TensorFlow #PyTorch #RAL2020

Code repository for our paper Chongyi Li, Chunle Guo, Wenqi Ren, Runmin Cong, Junhui Hou, Sam Kwong, Dacheng Tao , "An Underwater Image Enhancement Benchmark Dataset and Beyond" IEEE TIP 2019.

Code and Datasets for "Underwater Scene Prior Inspired Deep Underwater Image and Video Enhancement", Pattern Recognition, 2019

Paper “Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions” https://arxiv.org/abs/1901.05320

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

Underwater Image Super-Resolution using Deep Residual Multipliers. #ICRA2020

Pointers to large-scale underwater datasets and relevant resources.

MATLAB code for color restoration of underwater images

Using GANs to correct color distortion in underwater images.

[CVPRW 2019] All-In-One Underwater Image Enhancement using Domain-Adversarial Learning

Single Image Haze Removal Using Dark Channel Prior

实现暗通道去雾算法 Realizing 'Single Image Haze Removal Using Dark Channel Prior'

This project provides a Python script for dehazing underwater images using the Dark Channel Prior algorithm.

(Exact) contrast-limited adaptive histogram equalization

clahe_python_opencv (contrast limited adaptive histogram equalization)

Practical Implementation of Single Scale Retinex and Multiscale Retinex Algorithm in Python 3

MMLE_Code_TIP2022

Source code for UWGAN: Underwater GAN for Real-world Underwater Color Restoration and Dehazing

Source code for "WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images"

Some histogram equalization methods to enhance image contrast, including AHE and CLAHE.

Python implementation of multi scale retinex with color restoration

A clean and readable Pytorch implementation of CycleGAN

Pytorch implementation of Unsupervised Attention-guided Image-to-Image Translation.