Underwater imaging systems have evolved into essential hardware equipment for
develo** and utilizing marine resources. However, the complex underwater physical …

In dark underwater areas, existing single-model underwater image enhancement methods
have poor enhancement effects. We propose an underwater image enhancement method …

Underwater optical imaging is essential for exploring the underwater environment to provide
information for planning and regulating underwater activities in various underwater …

Considering the limitation of a single physics-based or deep learning-based method, this
paper proposes an effective Dual-model methodology for underwater image enhancement …

Optical imaging and vision technology have become crucial research topics in the field of
underwater and ocean scenes. These technologies play a vital role in advancing …

Underwater images are often scattered due to suspended particles in the water, resulting in
light scattering and blocking and reduced visibility and contrast. Color shifts and distortions …

The quality of underwater images is often affected by light scattering and attenuation,
resulting in a loss of contrast and brightness. To address this issue, this paper proposes an …

When taking images underwater, we often find they have low contrast and color distortions
since light passing through water suffers from absorption, scattering, and attenuation …

Underwater images often face visual degradation problems such as color deviations, low
contrast, and blurred details. Previous studies suffer from poor visual perception …

Depth estimation is crucial for autonomous under-water vehicles (AUVs) to navigate
effectively and understand their surroundings. While deep neural networks offer promising …