A dataset to evaluate underwater image restoration methods | IEEE Conference Publication | IEEE Xplore

A dataset to evaluate underwater image restoration methods


Abstract:

Image restoration methods have been made to repair images that have some kind of degradation. Most of these methods are designed to deal with the degradation caused by th...Show More

Abstract:

Image restoration methods have been made to repair images that have some kind of degradation. Most of these methods are designed to deal with the degradation caused by the over-land effects. However, when the images was captured in underwater environments, there are different properties that can degrade the image in unusual ways. This work aims to evaluate how the popular image restoration methods behaves when applied in underwater images with the presence of turbidity in the water. For this, we propose a dataset where we are able to control the amount of image degradation due to underwater properties on a scenario with 3D objects that represents the seabed characteristics. After that, we evaluate the restoration of these methods and their behavior through the image degradation due to turbidity.
Date of Conference: 10-13 April 2016
Date Added to IEEE Xplore: 09 June 2016
Electronic ISBN:978-1-4673-9724-7
Conference Location: Shanghai, China

Contact IEEE to Subscribe

References

References is not available for this document.