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

Underwater video images, as the primary carriers of underwater information, play a vital role
in human exploration and development of the ocean. Due to the optical characteristics of …

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 severe distortion, which degrades the accuracy of object
detection performed in an underwater environment. Existing underwater image …

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 wavelength-dependent light absorption and scattering, underwater images often
appear with a colour cast and blurry details. Most existing deep learning methods utilize a …

Despite the remarkable achievement of recent underwater image restoration techniques, the
lack of labeled data has become a major hurdle for further progress. In this work, we …

In underwater scenes, wavelength-dependent light absorption and scattering degrade the
visibility of images and videos. The degraded underwater images and videos affect the …

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