Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …

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

Underwater images often suffer from quality deteriorations such as color deviation, reduced
contrast, and blurred details due to wavelength-dependent light absorption and scattering in …

In the existing deep learning-based watermarking models, extracted image features for
fusing with watermark are not abundant enough and more critically, and essential features …

Learning-based underwater image enhancement (UIE) methods have made great progress.
However the lack of large-scale and high-quality paired training samples has become the …

Recently, deep learning networks have made significant progress in underwater image
enhancement, but the shortage of paired labeled datasets has become a major obstacle to …

Machine vision-based automatic detection of marine organisms is a fundamental task for the
effective analysis of production and habitat changes in marine ranches. However …

Underwater imaging suffers from significant quality degradation due to light scattering and
absorption by water molecules, leading to color cast and reduced visibility. This hinders the …

Due to the wavelength-dependent light attenuation and scattering, the color of the
underwater organism usually appears distorted. The existing underwater image …

The industrialized aquaculture with recirculating water systems has gained increasing
attention and rapid development in recent years. However, the existing underwater …