High-quality underwater optical images are essential for various applications of underwater
vision. However, these images often suffer from severe degradation, complex noise, low …

Underwater images are subject to intricate and diverse degradation inevitably affecting the
effectiveness of underwater visual tasks. However most approaches primarily operate in the …

Underwater image enhancement presents a significant challenge due to the complex and
diverse underwater environments that result in severe degradation phenomena such as light …

With the growing exploration of marine resources, underwater image enhancement has
gained significant attention. Recent advances in convolutional neural networks (CNN) have …

Enhancing underwater images captured under mixed artificial and natural lighting
conditions presents two critical challenges. Existing methods lack a unified luminance …

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 …

High-quality underwater imaging is crucial for underwater exploration. However, particle
scattering and light absorption by seawater significantly degrade image clarity. To address …

In recent years, the field of underwater image enhancement has evolved from physics-based
approaches to various neural network-based methods, all of which have achieved promising …

Motivated by the adverse impact of light attenuation and scattering, which leads to color
distortion and low contrast in underwater images, our study primarily focuses on …