Alan Le Boudec, Artur Mkrtchyan, Barbara Džaja, Vincent Rodin and
Hai Nam Tran.
Evaluation and Optimization of Underwater Image Restoration Algorithms.
SpliTech 2021, 6th International Conference on Smart and Sustainable
Technologies, IEEE Computer Society, 6 pages,
Bol and Split (Croatia), 8-11 September 2021.
Abstract:
On-board restoration of underwater images on embedded platforms such as
marine drones is faced with many obstacles including image quality and
real-time constraints.
Confrontations met on the way vary from views to solution methods depending
on the goals, such as underwater vehicle realtime control and positioning or
underwater object recognition.
In this research, five algorithms for underwater image restoration were
studied and evaluated.
In order to evaluate the quality of the performing algorithms nine evaluation
criteria were used.
Split into two types, the no reference metrics assesses only the quality of
the image results, while the full reference criterion uses a reference image
to estimate it.
The calculation of these criteria allows each algorithm to be compared.
Furthermore, the possibility to optimise algorithms in order to make them
applicable to meet real-time requirements on embedded platforms was
investigated.
Acknowledgement: This project has benefited from state funding
managed by the French National Research Agency (ANR) under the
"Investissements d'avenir" program bearing the Reference ANR-19-GURE-0001.
[doi:10.23919/SpliTech52315.2021.9566342]
[Le_Boudec21a.pdf]