Underwater image processing always a challenging problem in oceanic engineering
applications. Images captured in underwater are commonly suffers due to color distortion …

In this paper, we present a fast monocular depth estimation method for enabling 3D
perception capabilities of low-cost underwater robots. We formulate a novel end-to-end …

Accurate underwater depth estimation is a cornerstone of reaching autonomous underwater
exploration. However, it is incredibly tricky due to the inherent attenuation character and …

Structures associated with offshore wind energy production require an arduous and cyclical
inspection and maintenance (O&M) procedure. Moreover, the harsh challenges introduced …

In this work, we address the problem of real-time dense depth estimation from monocular
images for mobile underwater vehicles. We formulate a deep learning model that fuses …

Owing to the light absorption and wavelength scattering in underwater environments,
underwater images are severely degraded, which directly affects the depth estimation of …

The rapid progress in computer vision has presented new opportunities for enhancing the
visual capabilities of underwater robots. However, most deep learning-based visual …

In recent years, underwater image processing has played an essential role in ocean
exploration. The complexity of seawater leads to the phenomena of light absorption and …

Acquiring underwater depth maps is essential as they provide indispensable three-
dimensional spatial information for visualizing the underwater environment. These depth …

With the success of deep learning, an increasing number of architectures and models have
been proposed. Among these, the encoder-decoder architecture is one of the most …