The Internet of Underwater Things (IoUT) is an emerging communication ecosystem
developed for connecting underwater objects in maritime and underwater environments …

With increasing attentions being drawn to the underwater observation and utilization of
marine resources in recent years, underwater image processing and analysis have become …

Underwater images typically suffer from color deviations and low visibility due to the
wavelength-dependent light absorption and scattering. To deal with these degradation …

Underwater image enhancement aims at improving the visibility and eliminating color
distortions of underwater images degraded by light absorption and scattering in water …

Underwater images suffer from color casts and low contrast due to wavelength-and distance-
dependent attenuation and scattering. To solve these two degradation issues, we present an …

Due to the selective attenuation of light in water, captured underwater images exhibit poor
visibility and cause considerable challenges for vision tasks. The structural and statistical …

Single underwater image enhancement remains a challenging ill-posed problem, even with
advanced deep learning methods, due to the significant information degeneration and …

The light absorption and scattering of underwater impurities lead to poor underwater
imaging quality. The existing data-driven based underwater image enhancement (UIE) …

The paper presents a novel method, Zero-Reference Deep Curve Estimation (Zero-DCE),
which formulates light enhancement as a task of image-specific curve estimation with a deep …

A main challenge faced in the deep learning-based Underwater Image Enhancement (UIE)
is that the ground truth high-quality image is unavailable. Most of the existing methods first …