Underwater image and video dehazing with pure haze region segmentation
- Submitting institution
-
University of the West of England, Bristol
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 862639
- Type
- D - Journal article
- DOI
-
10.1016/j.cviu.2017.08.003
- Title of journal
- Computer Vision and Image Understanding
- Article number
- -
- First page
- 145
- Volume
- 168
- Issue
- -
- ISSN
- 1077-3142
- Open access status
- Compliant
- Month of publication
- August
- Year of publication
- 2017
- URL
-
http://dx.doi.org/10.1016/j.cviu.2017.08.003
- 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
- 26
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper was significant in not only introducing a method for specifically dehazing underwater videos which was novel at the time but it also made use of an extensive subjective evaluation experiment which demonstrated the limitations with current metrics for the quality assessment of underwater imagery.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
