Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/19162
Title: Evaluation of Underwater Image Enhancement Algorithms under Different Environmental Conditions
Authors: Mangeruga, Marino 
Cozza, Marco 
Bruno, Fabio 
Major Field of Science: Engineering and Technology
Field Category: Electrical Engineering - Electronic Engineering - Information Engineering
Keywords: Underwater image enhancement;Dehazing;Colour correction;Automatic colour equalization;Contrast Limited;Adaptive Histogram Equalization (CLAHE)
Issue Date: 16-Jan-2018
Source: Journal of Marine Science and Engineering, 2018 Vol. 6, no. 1
Volume: 6
Issue: 1
Project: Advanced VR, iMmersive serious games and Augmented REality as tools to raise awareness and access to European underwater CULTURal heritage 
Journal: Journal of Marine Science and Engineering 
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 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
URI: https://ktisis.cut.ac.cy/handle/10488/19162
ISSN: 2077-1312
DOI: 10.3390/jmse6010010
Rights: Attribution-NonCommercial-NoDerivatives 4.0 International
Type: Article
Affiliation : 3D Research s.r.l. 
University of Calabria 
Appears in Collections:Άρθρα/Articles

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