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

Based on analysis of state-of-the-art research investigating target detection and recognition
in turbid waters, and aiming to solve the problems encountered during target detection and …

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 …

The use of underwater cameras instead of divers to enter complex underwater areas for real-
time monitoring of fish, shrimp, and algae is significant to the aquaculture industry. However …

In recent years, underwater image enhancement and restoration technologies have become
increasingly important in order to optimize the efficiency of maritime operations and promote …

The unique physical properties of underwater environments often lead to color distortion,
reduced visibility, and loss of detail in underwater images. To address these challenges, we …

Visual systems are receiving increasing attention in underwater applications. While the
photogrammetric and computer vision literature so far has largely targeted shallow water …

The absorption and scattering caused by the underwater medium degrade the quality of
underwater optical imaging, which limits the further development of underwater tasks …

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