Abstract 3D Semantic Scene Completion (SSC) has emerged as a nascent and pivotal
undertaking in autonomous driving aiming to predict the voxel occupancy within volumetric …

Despite the remarkable achievement of recent underwater image restoration techniques, the
lack of labeled data has become a major hurdle for further progress. In this work, we …

Global modeling-based image restoration frameworks have become popular. However, they
often require a high memory footprint and do not consider task-specific degradation. Our …

Underwater image enhancement presents a significant challenge due to the complex and
diverse underwater environments that result in severe degradation phenomena such as light …

Underwater images normally suffer from visual degradation issues such as color deviations,
low contrasts, and blurred details. Recently, numerous underwater image enhancement …

The objective of this article is to provide a detailed review of the state-of-the-art underwater
surveillance process and the new trends of the same. Underwater surveillance has recently …

Underwater image enhancement (UIE) presents a significant challenge within computer
vision research. Despite the development of numerous UIE algorithms, a thorough and …

Enhancing underwater images captured under mixed artificial and natural lighting
conditions presents two critical challenges. Existing methods lack a unified luminance …

This article presents U 2PNet, a novel unsupervised underwater image restoration network
using polarization for improving signal-to-noise ratio and image quality in underwater …

Visibility in hazy nighttime scenes is frequently reduced by multiple factors, including low
light, intense glow, light scattering, and the presence of multicolored light sources. Existing …