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

Underwater images typically suffer from various quality degradation issues due to the
scattering and absorption of light, but these degraded-quality underwater images are …

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

High-quality underwater optical images are essential for various applications of underwater
vision. However, these images often suffer from severe degradation, complex noise, low …

In brain–computer interfaces (BCIs), it is crucial to process brain signals to improve the
accuracy of the classification of motor movements. Machine learning (ML) algorithms such …

Due to the scattering of light and the influence of different water types, underwater images
usually suffer from different type of hybrid degradation, eg color distortion, blurred details …

Images and videos collected in an underwater environment often have low contrast, blur,
and colour cast due to two significant sources of distortion; light scattering and absorption. In …

Many state-of-the-art low-light image enhancement techniques now suffer from issues like
color distortion, detail blurring, and the halo effect, hindering their ability to produce visual …

Recent methods introduce semantics obtained from pre-trained classification models into
color constancy to guide the model in learning object-color mapping, thereby improving the …

Abstract Underwater Image Enhancement (UIE) addresses challenges in marine resource
exploitation such as absorption, noise, and low contrast. This paper employs bibliometric …