Underwater optics have seen a notable surge of interest in recent years, emerging as a
critical medium for conveying information crucial to underwater resource exploration …

Image restoration and denoising has been a challenging problem in optics and computer
vision. There has been active research in the optics and imaging communities to develop a …

Underwater scattering caused by suspended particles in the water severely degrades signal
detection performance and poses significant challenges to the problem of object detection …

Advances in convolutional neural networks (CNNs) provide novel and alternative solutions
for water quality management. This paper evaluates state-of-the-art optimization strategies …

Underwater optical signal detection performance suffers from occlusion and turbidity in
degraded environments. To tackle these challenges, three-dimensional (3D) integral …

We propose a diffuser-based lensless underwater optical signal detection system. The
system consists of a lensless one-dimensional (1D) camera array equipped with random …

The wireless transmission of video data mainly entails addressing the massive video stream
data and ensuring the quality of image frame transmission. To reduce the amount of data …

Recent advances and applications in the Visual Internet of Things (VIoT) have witnessed
significant progress in various areas, such as smart sensing and environmental monitoring …

Image restoration aims to recover a clean image given a noisy image. It has long been a
topic of interest for researchers in imaging, optical science and computer vision. As the …

Scattering imaging through thick scattering media is often hindered by extremely low signal-
to-noise ratios (SNRs) due to the ballistic-photon signal becomes negligible. To break …