Semantic Communication based on Large Language Model for Underwater Image Transmission
Underwater communication is essential for environmental monitoring, marine biology
research, and underwater exploration. Traditional underwater communication faces …
research, and underwater exploration. Traditional underwater communication faces …
Underwater image restoration for seafloor targets with hybrid attention mechanisms and conditional generative adversarial network
Underwater image restoration is of great significance in underwater vision research. Affected
by the underwater scene, the original underwater image usually has problems such as the …
by the underwater scene, the original underwater image usually has problems such as the …
Unsupervised and untrained underwater image restoration based on physical image formation model
Underwater images suffer from degradation caused by light scattering and absorption.
Training a deep neural network to restore underwater images is challenging due to the labor …
Training a deep neural network to restore underwater images is challenging due to the labor …
Real Underwater Image Restoration From a Unified Perspective
Z Zhang, J Huo, C Li, Z Zhao… - 2024 International Joint …, 2024 - ieeexplore.ieee.org
The fidelity of underwater visual data is significantly affected by various factors,
encompassing light refraction and color distortion in water. These factors often give rise to …
encompassing light refraction and color distortion in water. These factors often give rise to …
VimSC: Robust Underwater Acoustic Image Semantic Communication Based on Vision Mamba Model
L Yu, H Zhang, J Liu, C Liu, J Yuan, Z Li… - Proceedings of the 2024 …, 2024 - dl.acm.org
Underwater acoustic communication is challenged by strong multipath effects, significant
path loss, and limited available bandwidth, which result in low transmission efficiency and …
path loss, and limited available bandwidth, which result in low transmission efficiency and …
Medium transmission map matters for learning to restore real-world underwater images
Low illumination, light reflections, scattering, absorption, and suspended particles inevitably
lead to critically degraded underwater image quality, which poses great challenges for …
lead to critically degraded underwater image quality, which poses great challenges for …
Ruig: Realistic underwater image generation towards restoration
In this paper, we present a novel method for generating synthetic underwater images
considering revised image formation model. We propose to use the generated synthetic …
considering revised image formation model. We propose to use the generated synthetic …
Agcyclegan: Attention-guided cyclegan for single underwater image restoration
Underwater image restoration is a fundamental problem in image processing and computer
vision. It has broad application prospects for underwater operations, especially underwater …
vision. It has broad application prospects for underwater operations, especially underwater …
Deep underwater image restoration and beyond
Underwater image restoration is a challenging problem due to the multiple distortions.
Degradation in the information is mainly due to the 1) light scattering effect 2) wavelength …
Degradation in the information is mainly due to the 1) light scattering effect 2) wavelength …
Addressing Out-of-Distribution Challenges in Image Semantic Communication Systems with Multi-modal Large Language Models
Semantic communication is a promising technology for next-generation wireless networks.
However, the out-of-distribution (OOD) problem, where a pre-trained machine learning (ML) …
However, the out-of-distribution (OOD) problem, where a pre-trained machine learning (ML) …