Jove
Visualize
联系我们
JoVE
x logofacebook logolinkedin logoyoutube logo
关于 JoVE
概览领导团队博客JoVE 帮助中心
作者
出版流程编辑委员会范围与政策同行评审常见问题投稿
图书馆员
用户评价订阅访问资源图书馆顾问委员会常见问题
研究
JoVE JournalMethods CollectionsJoVE Encyclopedia of Experiments存档
教育
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab Manual教师资源中心教师网站
使用条款与条件
隐私政策
政策

相关概念视频

Uniform Depth Channel Flow: Problem Solving01:18

Uniform Depth Channel Flow: Problem Solving

126
To calculate the flow rate for a trapezoidal channel, first, identify the bottom width, side slope, and flow depth of the channel. The cross-sectional area (A) corresponding to the depth of flow (y), channel bottom width (B), and side slope (θ) is determined by:Next, calculate the wetted perimeter, which includes the bottom width and the sloped side lengths in contact with the water. Using the values of the cross-sectional area and the wetted perimeter, determine the hydraulic radius by...
126
Buoyancy and Stability for Submerged and Floating Bodies01:11

Buoyancy and Stability for Submerged and Floating Bodies

2.0K
In fluid mechanics, buoyancy and stability are key concepts for understanding the behavior of submerged and floating bodies. When a stationary body is fully or partially submerged in a fluid, the fluid exerts a force on the body known as the buoyant force. This force acts vertically upward through a point called the center of buoyancy, which is the center of the displaced fluid volume. According to Archimedes' principle, the magnitude of the buoyant force is equal to the weight of the fluid...
2.0K
Diffusion01:12

Diffusion

199.7K
Diffusion is the passive movement of substances down their concentration gradients—requiring no expenditure of cellular energy. Substances, such as molecules or ions, diffuse from an area of high concentration to an area of low concentration in the cytosol or across membranes. Eventually, the concentration will even out, with the substance moving randomly but causing no net change in concentration. Such a state is called dynamic equilibrium, which is essential for maintaining overall...
199.7K
Uniform Depth Channel Flow01:27

Uniform Depth Channel Flow

167
Uniform depth channel flow keeps fluid depth consistent along channels such as irrigation canals. In natural channels, such as rivers, approximate uniform flow is often assumed. This condition occurs when the channel’s bottom slope matches the energy slope, balancing potential energy lost from gravity with head loss due to shear stress. This balance prevents depth changes along the channel length, resulting in a steady, uniform flow.Uniform flow in open channels with a constant cross-section...
167
Theories of Dissolution: Diffusion Layer Model01:15

Theories of Dissolution: Diffusion Layer Model

947
Dissolution, the process by which drug particles dissolve in a solvent, is explained by the diffusion layer model, a theoretical framework that simulates the absorption of oral drugs and allows us to analyze experimental data.
This process starts with a thin layer, saturated with the drug, forming at the interface between the solid and liquid. The solute then diffuses from this layer into the main solution. The Noyes-Whitney equation suggests that the rate of dissolution relies on the diffusion...
947
Assessment of Diffusion and Perfusion01:17

Assessment of Diffusion and Perfusion

1.1K
Understanding and evaluating diffusion and perfusion is critical in assessing a patient's respiratory and circulatory health. These processes play key roles in maintaining the body's internal environment, ensuring that tissues receive adequate oxygen while waste products are efficiently removed.
The Role of Diffusion in Respiration
Diffusion is the process by which molecules move from an area of higher concentration to an area of lower concentration. In the respiratory system, this...
1.1K

您也可能阅读

相关文章

通过共同作者、期刊和引用图与本文相关的文章。

排序
Same author

Dual-drug-loaded nanohydrogel for intraoperative local application: sequential release-mediated spatiotemporal targeting of diverse secondary injury mechanisms to improve long-term prognosis in traumatic brain injury.

BMC medicine·2026
Same author

Exploring the multi-barrier repair effects of Codonopsis pilosula water extract in improving rhubarb-induced intestinal dysfunction in mice based on the tryptophan metabolism-AhR pathway.

International immunopharmacology·2026
Same author

A Novel Model for Predicting Post-Craniotomy Meningitis Using Early Postoperative Risk Stratification: A Multi-Center Retrospective Study.

Infection and drug resistance·2026
Same author

Trends in robotic upper gastrointestinal and hepatopancreatobiliary surgery in Australia: a private sector-based analysis.

Journal of robotic surgery·2026
Same author

Development of an interpretable machine learning model-based online tool for risk prediction of falls and fall-related injuries in Chinese middle-aged and older adults with depressive symptoms-a longitudinal study based on the CHARLS database.

BMC public health·2026
Same author

The Impact of Limited-Eligibility Nirsevimab on Paediatric Respiratory Syncytial Virus (RSV) Infection and Hospitalisations in the Australian Capital Territory: An Observational Cohort Study.

Journal of paediatrics and child health·2026
Same journal

Human-AI Interaction in Interventional Radiology: A Narrative Review of Current Applications, Challenges, and Future Directions.

Journal of imaging·2026
Same journal

Coronary Artery Anomalies and Anatomical Variants: Cross-Sectional Diagnostic Imaging and Clinical Background.

Journal of imaging·2026
Same journal

YoLeTooth: A Unified Framework for Joint Tooth Segmentation and Periapical Lesion Detection in Panoramic Radiographs.

Journal of imaging·2026
Same journal

Radiomics-Guided Multi-Sequence Learning for Pathological Complete Response Prediction from Breast MRI with Missing Auxiliary Sequences.

Journal of imaging·2026
Same journal

Cutaneous Thermography in Arthropathies: Quantitative Imaging, Machine Learning, and Clinical Translation.

Journal of imaging·2026
Same journal

Two-Stage Dynamic Synergistic Segmentation Method for Myocardial Pathology.

Journal of imaging·2026
查看所有相关文章

相关实验视频

Updated: Sep 13, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

818

水下图像增强使用扩散模型与对抗性学习.

Xueyan Ding1,2, Xiyu Chen1, Yixin Sui1

  • 1School of Computer Science and Engineering, Dalian Minzu University, Dalian 116600, China.

Journal of imaging
|July 25, 2025
PubMed
概括
此摘要是机器生成的。

本研究介绍了对抗性学习扩散水下图像增强 (ALDiff-UIE),这是改善水下图像质量的新方法. ALDiff-UIE有效地解决了低对比度,色彩扭曲和噪声问题,性能优于现有技术.

关键词:
具有对抗性的学习.注意力机制注意力机制扩散模型的扩散模型.水下图像增强水下图像增强

更多相关视频

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

637

相关实验视频

Last Updated: Sep 13, 2025

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging
09:19

Measuring the Structure, Composition, and Change of Underwater Environments with Large-area Imaging

Published on: April 18, 2025

818
Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications
03:31

Author Spotlight: Enhancement of Salient Object Detection for Smart Grid Applications

Published on: December 15, 2023

637

科学领域:

  • 计算机视觉 计算机视觉
  • 图像处理 图像处理
  • 人工智能的人工智能

背景情况:

  • 水下图像由于环境因素而遭受低对比度,色彩扭曲和噪音.
  • 现有的水下图像增强方法缺乏对各种水下条件的概括性.

研究的目的:

  • 开发一种强大且可通用的水下图像增强方法.
  • 改进水下图像的视觉质量和定量指标.

主要方法:

  • 引入了对抗性学习扩散水下图像增强 (ALDiff-UIE),一种基于扩散模型的方法.
  • 采用对抗式学习策略,使用生成器和区分器来消除噪音和提高质量.
  • 整合了一个多尺度的动态窗口注意力机制,以实现有效的特征融合.

主要成果:

  • ALDiff-UIE在水下图像增强方面取得了显著的改进.
  • 在基准数据集中,PCQI平均增加了12.8%,UIQM平均增加了15.6%.
  • 在定性和定量评估中表现优于几种主流的水下图像增强方法.

结论:

  • 与现有的方法相比,ALDiff-UIE为增强水下图像提供了一种优越的解决方案.
  • 拟议的方法在各种水下环境中显示出强大的概括能力.
  • ALDiff-UIE有效地提高了水下图像的视觉质量和定量指标.