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  4. Underwater Image Enhancement before Three-Dimensional (3D) Reconstruction and Orthoimage Production Steps: Is It Worth?
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Underwater Image Enhancement before Three-Dimensional (3D) Reconstruction and Orthoimage Production Steps: Is It Worth?

Date Issued
January 2018
Author(s)
Agrafiotis, Panagiotis  
Drakonakis, Georgios I.  
Skarlatos, Dimitrios  
Georgopoulos, Andreas  
DOI
https://doi.org/10.3390/books978-3-03842-685-1-11
Abstract
The advancement of contemporary digital techniques has greatly
facilitated the implementation of digital cameras in many scientific applications,
including the documentation of Cultural Heritage. Digital imaging has also gone
underwater, as many cultural heritage assets lie in the bottom of water bodies.
Consequently, a lot of imaging problems have arisen from this very fact. Some of
them are purely geometrical, but most of them concern the quality of the imagery,
especially in deep waters. In this paper, the problem of enhancing the radiometric
quality of underwater images is addressed, especially for cases where this
imagery is going to be used for automated photogrammetric and computer vision
algorithms later. In detail, it is investigated whether it is worth correcting the
radiometry of the imagery before the implementation of the various automations
or not, the alternative being to radiometrically correct the final orthoimage. Two
different test sites were used to capture imagery ensuring different environmental
conditions, depth, and complexity. The algorithms investigated to correct the
radiometry are a very simple automated method, using Adobe Photoshop®, a
specially developed colour correction algorithm using the CLAHE (Zuiderveld,
1994) method, and an implementation of the algorithm, as described in Bianco et
al. (2015). The corrected imagery is afterwards used to produce point clouds,
which in turn are compared and evaluated.
Funding(s)
Advanced VR, iMmersive serious games and Augmented REality as tools to raise awareness and access to European underwater CULTURal heritage  
Subjects

Underwater 3D reconst...

Underwater image enha...

SfMMVS (Structure fro...

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Underwater Image Enhancement.pdf

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