Underwater images serve as crucial mediums for conveying marine information.
Nevertheless, due to the inherent complexity of the underwater environment, underwater …

The objective of this article is to provide a detailed review of the state-of-the-art underwater
surveillance process and the new trends of the same. Underwater surveillance has recently …

Underwater image enhancement (UIE) aims to improve the visual quality of raw underwater
images. Current UIE algorithms primarily train a deep neural network (DNN) on synthetic …

In this paper, to solve unique underwater degradation challenges covering low contrast,
color deviation and blurring, etc., a novel semantic attention and relative scene depth …

The underwater environment presents unique challenges (color distortions, reduced
contrast, blurriness) hindering accurate analysis. This work introduces MuLA-GAN, a novel …

The acquisition of high-quality underwater images is of great importance to ocean
exploration activities. However, images captured in the underwater environment often suffer …

Underwater images suffer from blurred details and color distortion due to light attenuation
from scattering and absorption. Current underwater image enhancement (UIE) methods …

The absorption and scattering of light in the water medium naturally impair the quality of
underwater images, leading to multiple degradation effects including color casts, reduced …

Underwater images often suffer from various issues such as low brightness, color shift,
blurred details, and noise due to light absorption and scattering caused by water and …

Many underwater image enhancement (UIE) algorithms have been proposed to improve the
quality of the underwater image. However, the lack of effective objective image quality …