Hierarchical rank-based veiling light estimation for underwater dehazing
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 806010
- Type
- E - Conference contribution
- DOI
-
10.5244/C.29.125
- Title of conference / published proceedings
- Proceedings of the British Machine Vision Conference 2015
- First page
- 125.1
- Volume
- -
- Issue
- -
- ISSN
- -
- Open access status
- -
- Month of publication
- September
- Year of publication
- 2015
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
-
2
- Research group(s)
-
-
- Citation count
- -
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper introduced a method for underwater image dehazing. It was significant as it developed a novel way to estimate the veiling light in underwater images and overcame limitations in previous approaches. The work was an interdisciplinary collaboration with the co-authors being experts in the domains of Computer Vision (Andrea Cavallaro - Professor of Multimedia Signal Processing) and Sensory Ecology (Lars Chittka - Professor of Sensory and Behavioural Ecology).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
