Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/13439
Title: | Guidelines for underwater image enhancement based on benchmarking of different methods | Authors: | Mangeruga, Marino Bruno, Fabio Cozza, Marco Agrafiotis, Panagiotis Skarlatos, Dimitrios |
Major Field of Science: | Natural Sciences | Field Category: | Computer and Information Sciences | Keywords: | 3D reconstruction;Automatic colour equalization;Benchmark;CLAHE;Colour correction;Dehazing;Lab;Non-local dehazing;Screened poisson equation;Underwater image enhancement | Issue Date: | 1-Oct-2018 | Source: | Remote Sensing, 2018, vol. 10, no. 10 | Volume: | 10 | Issue: | 10 | Project: | Advanced VR, iMmersive serious games and Augmented REality as tools to raise awareness and access to European underwater CULTURal heritage | Journal: | Remote Sensing | Abstract: | Images obtained in an underwater environment are often affected by colour casting and suffer from poor visibility and lack of contrast. In the literature, there are many enhancement algorithms that improve different aspects of the underwater imagery. Each paper, when presenting a new algorithm or method, usually compares the proposed technique with some alternatives present in the current state of the art. There are no studies on the reliability of benchmarking methods, as the comparisons are based on various subjective and objective metrics. This paper would pave the way towards the definition of an effective methodology for the performance evaluation of the underwater image enhancement techniques. Moreover, this work could orientate the underwater community towards choosing which method can lead to the best results for a given task in different underwater conditions. In particular, we selected five well-known methods from the state of the art and used them to enhance a dataset of images produced in various underwater sites with different conditions of depth, turbidity, and lighting. These enhanced images were evaluated by means of three different approaches: objective metrics often adopted in the related literature, a panel of experts in the underwater field, and an evaluation based on the results of 3D reconstructions. | ISSN: | 20724292 | DOI: | 10.3390/rs10101652 | Rights: | © by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license | Type: | Article | Affiliation : | University of Calabria 3D Research s.r.l. Cyprus University of Technology |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
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remotesensing-10-01652.pdf | Fulltext | 5.94 MB | Adobe PDF | View/Open |
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