Hierarchical rank-based veiling light estimation for underwater dehazing

Simon Emberton, Lars Chittka and Andrea Cavallaro

Abstract

Current dehazing approaches are often hindered when scenes contain bright objects which can cause veiling light and transmission estimation methods to fail. This paper introduces a single image dehazing approach for underwater images with novel veiling light and transmission estimation steps which deal with issues arising from bright objects. We use features to hierarchically rank regions of an image and to select the most likely veiling light candidate. A region-based approach is used to find optimal transmission values for areas that suffer from oversaturation. We also locate background regions through superpixel segmentation and clustering, and adapt the transmission values in these regions so to avoid artefacts. We validate the performance of our approach in comparison to the state of the art in underwater dehazing through subjective evaluation and with commonly used quantitative measures.

Session

Poster 2

Files

Extended Abstract (PDF, 1816K)
Paper (PDF, 6M)
Supplemental Materials (ZIP, 10M)

DOI

10.5244/C.29.125
https://dx.doi.org/10.5244/C.29.125

Citation

Bibtex

@inproceedings{BMVC2015_125,
	title={Hierarchical rank-based veiling light estimation for underwater dehazing},
	author={Simon Emberton and Lars Chittka and Andrea Cavallaro},
	year={2015},
	month={September},
	pages={125.1-125.12},
	articleno={125},
	numpages={12},
	booktitle={Proceedings of the British Machine Vision Conference (BMVC)},
	publisher={BMVA Press},
	editor={Xianghua Xie, Mark W. Jones, and Gary K. L. Tam},
	doi={10.5244/C.29.125},
	isbn={1-901725-53-7},
	url={https://dx.doi.org/10.5244/C.29.125}
}