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

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

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

Underwater images suffer from severe distortion, which degrades the accuracy of object
detection performed in an underwater environment. Existing underwater image …

Underwater images suffer from color casts and low contrast due to wavelength-and distance-
dependent attenuation and scattering. To solve these two degradation issues, we present an …

We present a novel method for underwater image restoration, which combines a
Comprehensive Imaging Formation Model with prior knowledge and unsupervised …

Despite the remarkable achievement of recent underwater image restoration techniques, the
lack of labeled data has become a major hurdle for further progress. In this work, we …

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 …

Due to the refraction and absorption of light by water, underwater images usually suffer from
severe degradation, such as color cast, hazy blur, and low visibility, which would degrade …