Due to complex and volatile lighting environment, underwater imaging can be readily
impaired by light scattering, warping, and noises. To improve the visual quality, Underwater …

Open-source benchmark datasets have been a critical component for advancing machine
learning for robot perception in terrestrial applications. Benchmark datasets enable the …

With the rapid development of offshore exploration, autonomous underwater vehicles
(AUVs) have come in great diversities depending on their particular specifications in civil …

Digital image processing domain is growing day-by-day by introducing novel technologies
to provide assistance for several applications such as robotic activities, underwater network …

Dear Editor, This letter presents an inspection method for process monitoring of underwater
oil transportation via multiple autonomous underwater vehicles (AUV). To improve the …

During an ultrasound (US) scan, the sonographer is in close contact with the patient, which
puts them at risk of COVID-19 transmission. In this paper, we propose a robot-assisted …

Various image enhancement algorithms are adopted to improve underwater images that
often suffer from visual distortions. It is critical to assess the output quality of underwater …

Underwater image enhancement plays a critical role in marine industry. Various algorithms
are applied to enhance underwater images, but their performance in terms of perceptual …

Blind image quality assessment (BIQA) for in-the-wild images has achieved great progress
by training advanced deep neural networks. However, the current BIQA models are suffering …

The complex underwater environment often leads to issues such as light scattering, color
distortion, structural blurring, and noise interference in underwater images, hindering …