Reference
A. Ilioudi,
B. J. Wolf, A. Dabiri, and B.
De Schutter, "Towards establishing an automated selection framework for
underwater image enhancement methods,"
Proceedings of the
OCEANS 2023 Limerick, Limerick, Ireland, 6 pp., June 2023.
Abstract
The majority of computer vision architectures are developed based on the
assumption of the availability of good quality data. However, this is a
particularly hard requirement to achieve in underwater conditions. To address
this limitation, plenty of underwater image enhancement methods have received
considerable attention during the last decades, but due to the lack of a
commonly accepted framework to systematically evaluate them and to determine
the likely optimal one for a given image, their adoption in practice is
hindered, since it is not clear which one can achieve the best results. In this
paper, we propose a standardized selection framework to evaluate the quality of
an underwater image and to estimate the most suitable image enhancement
technique based on its impact on the image classification performance.
Publisher page
Downloads
BibTeX
@inproceedings{IliWol:23-003,
author = {Ilioudi, Athina and Wolf, Ben J. and Dabiri, Azita and De
Schutter, Bart},
title = {Towards Establishing an Automated Selection Framework for
Underwater Image Enhancement Methods},
booktitle = {Proceedings of the OCEANS 2023 Limerick},
address = {Limerick, Ireland},
month = jun,
year = {2023}
}