Underwater images typically suffer from various quality degradation issues due to the
scattering and absorption of light, but these degraded-quality underwater images are …

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 …

Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …

Underwater images captured by an underwater camera normally suffer from visual
degradation issues, such as color deviations, low contrasts, and detail blurs. Existing studies …

Haze superimposes a veil over remote sensing images, which severely limits the extraction
of valuable military information. To this end, we present a novel trinity model to restore …

Underwater imaging is usually degraded by low contrast or color cast due to light absorption
and scattering. This fact limits the accuracy of object recognition in underwater and marine …

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 …

Recently, learning-based algorithms have shown impressive performance in underwater
image enhancement. Most of them resort to training on synthetic data and obtain …

Different underwater images captured by different devices may exhibit varying degrees of
nonlinear rendering, leading to white balance distortion. Meanwhile, wavelength attenuation …

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