Multiple imaging modalities can be combined to provide more information about the real
world than a single modality alone. Infrared images discriminate targets with respect to their …

The mysteries of deep-sea ecosystems can be unlocked to reveal new sources, for
develo** medical drugs, food and energy resources, and products of renewable energy …

Due to the selective attenuation of light in water, captured underwater images exhibit poor
visibility and cause considerable challenges for vision tasks. The structural and statistical …

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

Underwater images suffer from blurring effects, low contrast, and grayed out colors due to
the absorption and scattering effects under the water. Many image enhancement algorithms …

Quality evaluation of underwater images is a key goal of underwater video image retrieval
and intelligent processing. To date, no metric has been proposed for underwater color …

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 …

Underwater image enhancement has attracted much attention due to the rise of marine
resource development in recent years. Benefit from the powerful representation capabilities …

Underwater images typically exhibit color distortion and low contrast as a result of the
exponential decay that light suffers as it travels. Moreover, colors associated to different …

Light scattering and color change are two major sources of distortion for underwater
photography. Light scattering is caused by light incident on objects reflected and deflected …