janicelicy / SeCA

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Selective Colour Restoration of Underwater Surfaces

Chau Yi Li*, Andrea Cavallaro
Queen Mary University of London, London, United Kingdom
*chauyi.li@qmul.ac.uk

This is the repository for our Selective Colour Restoration of Underwater Surfaces (SeCA), in BMVC 2023. Paper

SeCA is designed for images captured in blue water (Jerlov oceanic water) without artifical lights.

oki_23

Depeloying on images taken with artifical lights might over-enhanced some areas... Stay tuned for updates :ocean::ocean:

651_img_

SeCA is a stable algorthm - you can extend it directly to videos without enforcing any temporal constraint!

https://user-images.githubusercontent.com/26412181/166123110-7dcc50d6-0adf-4ec2-a521-dee660cc70a5.mp4

https://user-images.githubusercontent.com/26412181/166123202-a08c88ec-5738-43f6-b9e5-c71f25670a0b.mp4

Using SeCA

Put your test image in ./demo file and run the MATLAB file

 (matlab) SeCA_BMVC

Citation

If you use the sample code or part of it in your research, please cite the following:

@inproceedings{Li_SeCA_2022_BMVC,
author    = {Chau Yi Li and ANDREA CAVALLARO},
title     = {Selective Colour Restoration of Underwater Surfaces},
booktitle = {33rd British Machine Vision Conference 2022, {BMVC} 2022, London, UK, November 21-24, 2022},
year      = {2022}
}