realistic underwater images? To this end, we propose a neural rendering method for underwater imaging, dubbed UWNR (Underwater Neural Rendering). Specifically, UWNR is a data-driven neural network ...

Abstract: Due to the complex underwater imaging process, underwater images contain a variety of unique distortions. While existing underwater image quality assessment (UIQA) methods have made progress ...

🌊 What's This About? This repository holds the code for our work on LLM-Driven Unsupervised Genetic Learning for Underwater Imaging. It's as cool as it sounds. Dive in to explore how large language ...

We came across a bullish thesis on Coda Octopus Group, Inc. (CODA) on Twitter by northeasternsvf. In this article, we will ...

Recently, however, structured lighting has found growing application in underwater and aerial imaging, where scattering effects cannot be ignored. In this project, we conduct a comprehensive analysis ...

Innovative developments in underwater imaging such as augmented reality displays and machine vision-capable cameras are transforming subsea capabilities across defence and industrial sectors. Join ...

In partnership with the NGO Seatrees and the University of California, the company wants to help preserve the oceans ...

Standards for radiographic imaging of pipeline corrosion do not currently cover underwater conditions, and as water is highly scattering it can have a significant impact on radiographic image quality: ...