Underwater object detection is one of the most challenging research topics in computer
vision technology. The complex underwater environment makes underwater images suffer …

With increasing attentions being drawn to the underwater observation and utilization of
marine resources in recent years, underwater image processing and analysis have become …

Underwater image enhancement has been attracting much attention due to its significance
in marine engineering and aquatic robotics. Numerous underwater image enhancement …

Underwater image enhancement aims at improving the visibility and eliminating color
distortions of underwater images degraded by light absorption and scattering in water …

Low-light image enhancement methods based on classic Retinex model attempt to
manipulate the estimated illumination and to project it back to the corresponding reflectance …

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

Single underwater image enhancement remains a challenging ill-posed problem, even with
advanced deep learning methods, due to the significant information degeneration and …

This paper develops a Bayesian retinex algorithm for enhancing single underwater image
with multiorder gradient priors of reflectance and illumination. First, a simple yet effective …

Due to the attenuation and scattering of light by water, there are many quality defects in raw
underwater images such as color casts, decreased visibility, reduced contrast, et al.. Many …

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 …