Simple Summary The automatic diagnosis of fish diseases is an important task in smart
aquaculture, and plays a key role in detecting fish conditions, understanding disease signs …

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

Due to the light absorption and scattering induced by the water medium, underwater images
usually suffer from some degradation problems, such as low contrast, color distortion, and …

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 …

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 …

Underwater images normally suffer from visual degradation issues such as color deviations,
low contrasts, and blurred details. Recently, numerous underwater image enhancement …

Due to the wavelength-dependent light attenuation, refraction and scattering, underwater
images usually suffer from color distortion and blurred details. However, due to the limited …

Underwater image processing has been shown to exhibit significant potential for exploring
underwater environments. It has been applied to a wide variety of fields, such as underwater …

In underwater scenes, the quality of the video and image acquired by the underwater
imaging system suffers from severe degradation, influencing target detection and …