Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/19162
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://hdl.handle.net/20.500.14279/19162 |
ISSN: | 20771312 |
DOI: | 10.3390/jmse6010010 |
Rights: | Attribution-NonCommercial-NoDerivatives 4.0 International |
Type: | Article |
Affiliation : | 3D Research s.r.l. University of Calabria |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
Files in This Item:
File | Description | Size | Format | |
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Evaluation of Underwater.pdf | 20.58 MB | Adobe PDF | View/Open |
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