This is the source code for the paper "Underwater image quality assessment method based on color space multi-feature fusion".
| Dataset | Links |
|---|---|
| SAUD | https://github.com/yia-yuese/SAUD-Dataset |
| UIED | https://github.com/z21110008/UIF |
Matlab
First of all, you need to ensure the correct path. Then you can extract features, split dataset, training and testing.
run the SAUDFeatureCompute.m
There are two ways to split a dataset: fixed and random. fixed:run the fixedSplitTrainTest.m radom:run the SplitTrainTest.m
run the SVM.m
run demo.m
If you find this work useful for your research, please cite our paper:
@Article{Chen2023,
author={Chen, Tianhai
and Yang, Xichen
and Li, Nengxin
and Wang, Tianshu
and Ji, Genlin},
title={Underwater image quality assessment method based on color space multi-feature fusion},
journal={Scientific Reports},
year={2023},
month={Oct},
day={06},
volume={13},
number={1},
pages={16838},
issn={2045-2322},
doi={10.1038/s41598-023-44179-3},
url={https://doi.org/10.1038/s41598-023-44179-3}
}