Skip to content

Implementation of "Towards Underwater Image Restoration: A Physical-accurate Pipeline and a Large Scale Full-reference Benchmark, International Conference on Multimedia and Expo(ICME), 2022"

Notifications You must be signed in to change notification settings

TongJiayan/MonoUIR

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

6 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

MonoUIR

Implementation of "Towards Underwater Image Restoration: A Physical-accurate Pipeline and a Large Scale Full-reference Benchmark, International Conference on Multimedia and Expo(ICME), 2022"

1. Prerequisites

sudo apt install python3-tk
pip3 install -r requirements.txt

2. Run the project

There are two test underwater images in Input folder for demo.

Run

python3 MonoUIR.py

and you will get result images in Output folder.

You can change the configurations of the pipeline in MonoUIR.py

3. Demo

demo Video demo can be obtained in Demo folder.

About

Implementation of "Towards Underwater Image Restoration: A Physical-accurate Pipeline and a Large Scale Full-reference Benchmark, International Conference on Multimedia and Expo(ICME), 2022"

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages