A python implementation of a fusion enhancement algorithm for underwater images.
I created this implementation as part of Kaggle's Tensorflow Greate Barrier Reef competition.
This implementation is based on the Java implementation from the OptimizedImageEnhance repo.
The original algorithm is from Enhancing underwater images and videos by fusion by Cosmin Ancuti.
python -m pip install git+https://github.com/DamonGeorge/UnderwaterImage-FusionEnhancement.git
Feel free to specify a release tag or other commit or marker (eg by appending @v0.1).
First create a python 3.7 environment. Next install all dependencies using
python -m pip install -r requirements-dev.txt
Initialize pre-commit using
pre-commit install
Basic import example: import fusion_enhance
Specified import example: from fusion_enhance import enhance
You can run the example script as
python enhance_files.py <example_image>
to enhance an image. This script also supports the batch enhancement of entire folders using multiple processes.