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

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

NesTD-Net: Deep NESTA-Inspired Unfolding Network With Dual-Path Deblocking Structure for Image Compressive Sensing.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2024
Same author

MTC-CSNet: Marrying Transformer and Convolution for Image Compressed Sensing.

IEEE transactions on cybernetics·2024
Same author

Atrial fibrillation classification based on the 2D representation of minimal subset ECG and a non-deep neural network.

Frontiers in physiology·2023
Same author

TransCS: A Transformer-Based Hybrid Architecture for Image Compressed Sensing.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2022
Same author

Distributed Estimation With Cross-Verification Under False Data-Injection Attacks.

IEEE transactions on cybernetics·2022
Same author

<i>Colletotrichum</i> Species Associated with Anthracnose Disease of Watermelon (<i>Citrullus lanatus</i>) in China.

Journal of fungi (Basel, Switzerland)·2022
Same journal

Mask-guided Asymmetric Contrastive and Semantic Alignment for Unsupervised Person Re-Identification.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Hyperbolic Cycle Alignment for Infrared-Visible Image Fusion.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Learning Gaze Synthesizer via 3D-eye Controlled Diffusion and Cross-domain Feature Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Underlying Semantic Diffusion for Effective and Efficient In-Context Learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

DiffRES: Unleashing Text-to-Image Diffusion Models for Generative Referring Expression Segmentation without Information Leakage.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
Same journal

Location Matters: Frequency-Spatial Dual Space Adaptation for Cross-Domain Few-Shot Segmentation.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society·2026
查看所有相关文章

相关实验视频

Updated: May 24, 2025

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
10:44

Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

Published on: June 21, 2024

404

USB-Net:展开分割的布雷格曼方法与多相功能集成,用于压缩成像.

Zhen Guo, Hongping Gan

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 3, 2025
    PubMed
    概括
    此摘要是机器生成的。

    USB-Net通过改进特征提取和减少信息丢失来增强压缩成像重建,特别是在较低的采样比率下. 这种新的深度展开方法在各种成像任务中实现了卓越的图像质量和通用性.

    更多相关视频

    Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
    02:09

    Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

    Published on: April 12, 2024

    519
    Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
    05:56

    Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

    Published on: August 9, 2024

    986

    相关实验视频

    Last Updated: May 24, 2025

    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging
    10:44

    Three-Dimensional Phase Resolved Functional Lung Magnetic Resonance Imaging

    Published on: June 21, 2024

    404
    Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function
    02:09

    Multi-modal Pulmonary Imaging: Using Complementary Information from CT and Hyperpolarized 129Xe MRI to Evaluate Lung Structure-Function

    Published on: April 12, 2024

    519
    Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis
    05:56

    Author Spotlight: Enhancing Diagnostic Strategies and Biomarker Development for Comprehensive Lung Function Analysis

    Published on: August 9, 2024

    986

    科学领域:

    • 计算机视觉 计算机视觉
    • 图像处理 图像处理
    • 信号处理 信号处理

    背景情况:

    • 现有的基于展开的压缩成像方法面临着效率低下的特征提取和信息丢失的挑战,特别是在较低的采样比率下,导致图像质量下降.
    • 这些局限性表现为重建图像中的显著细节退化和扭曲,阻碍了实际应用.

    研究的目的:

    • 引入USB-Net,这是一种新的深部展开网络,旨在克服现有的压缩成像重建技术的局限性.
    • 为了增强特征提取,优化数据真实性,并实现高质量的图像重建,特别是在具有挑战性的低采样条件下.

    主要方法:

    • 开发了USB-Net,这是一种深度展开的方法,灵感来自Split Bregman算法,并结合了多阶段功能集成策略.
    • 使用定制的深度注意力块来有效地提取特征,并解决Split Bregman方法的分割运算符.
    • 引入了辅助代模块 (X ((k),D ((k),B ((k)) 和代融合模块,以改进分解策略并整合多相代见解.

    主要成果:

    • 与最先进的方法相比,USB-Net在图像重建质量方面取得了显著的改进.
    • 该方法在各种压缩成像任务上取得了卓越的性能,包括一般压缩传感,CS-磁共振成像和快照压缩成像.
    • 实验证实了网络在减轻细节退化和扭曲方面的有效性,即使采样比率低.

    结论:

    • USB-Net有效地解决了在压缩成像重建中特征提取和信息丢失的挑战.
    • 拟议的方法利用多阶段的代见解来提高数据保真度,并产生高质量的重建图像.
    • 在各种成像应用中,USB-Net表现出强大的通用性,并且优于现有的方法.