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Keywords = lαβ colour space

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13 pages, 20579 KiB  
Article
Evaluation of Underwater Image Enhancement Algorithms under Different Environmental Conditions
by Marino Mangeruga, Marco Cozza and Fabio Bruno
J. Mar. Sci. Eng. 2018, 6(1), 10; https://doi.org/10.3390/jmse6010010 - 16 Jan 2018
Cited by 46 | Viewed by 11024
Abstract
Underwater images usually suffer from poor visibility, lack of contrast and colour casting, mainly due to light absorption and scattering. In literature, there are many algorithms aimed to enhance the quality of underwater images through different approaches. Our purpose was to identify an [...] Read more.
Underwater images usually suffer from poor visibility, lack of contrast and colour casting, mainly due to light absorption and scattering. In literature, there are many algorithms aimed to enhance the quality of underwater images through different approaches. Our purpose was to identify an algorithm that performs well in different environmental conditions. We have selected some algorithms from the state of the art and we have employed them to enhance a dataset of images produced in various underwater sites, representing different environmental and illumination conditions. These enhanced images have been evaluated through some quantitative metrics. By analysing the results of these metrics, we tried to understand which of the selected algorithms performed better than the others. Another purpose of our research was to establish if a quantitative metric was enough to judge the behaviour of an underwater image enhancement algorithm. We aim to demonstrate that, even if the metrics can provide an indicative estimation of image quality, they could lead to inconsistent or erroneous evaluations. Full article
(This article belongs to the Special Issue Maritime Environment Monitoring)
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