A benchmarking study on single image dehazing techniques for underwater autonomous vehicles
Impacto
Scholar |
Otros documentos de la autoría: Pérez Soler, Javier; Sanz, Pedro J; Bryson, Mitch; Williams, Sephan B.
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
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http://dx.doi.org/10.1109/OCEANSE.2017.8084771 |
Metadatos
Título
A benchmarking study on single image dehazing techniques for underwater autonomous vehiclesFecha de publicación
2017-06Editor
IEEEISBN
9781509052783Cita bibliográfica
J. Perez, P. J. Sanz, M. Bryson and S. B. Williams, "A benchmarking study on single image dehazing techniques for underwater autonomous vehicles," OCEANS 2017 - Aberdeen, Aberdeen, 2017, pp. 1-9Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión de la editorial
https://ieeexplore.ieee.org/document/8084771/Versión
info:eu-repo/semantics/publishedVersionResumen
Enhancing the underwater images is of utmost importance for autonomous underwater vehicles. This kind of robots usually have to deal with highly degraded images from which it is extremely difficult to accurately find, ... [+]
Enhancing the underwater images is of utmost importance for autonomous underwater vehicles. This kind of robots usually have to deal with highly degraded images from which it is extremely difficult to accurately find, recognise or manipulate targets of interest. For this reason, a single image dehazing fast enough to run in a real time system would be an important tool facilitating image processing. In this paper, an study of different dehazing techniques is presented, experimenting with the most suitable algorithms for this context. A benchmark is described testing dark channel prior based methodologies establishing an objective evaluation of these techniques from a real time application perspective. [-]
Descripción
Comunicació presentada a Oceans 2017 Conference, Aberdeen, 19-22 June 2017