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¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

¹³C NMR: Distortionless Enhancement by Polarization Transfer (DEPT)

When proton-coupled carbon-13 spectra are simplified by a broadband proton decoupling technique, structural information about the coupled protons is lost. Distortionless enhancement by polarization transfer (DEPT) is a technique that provides information on the number of hydrogens attached to each carbon in a molecule. While the DEPT experiment utilizes complex pulse sequences, the pulse delay and flip angle are specifically manipulated. The resulting signals have different phases depending on...

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相关实验视频

Updated: Jul 1, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

图像去结合了极化特性和深度学习.

Ke Suo, Yaowen Lv, Jiachao Yin

Journal of the Optical Society of America. A, Optics, image science, and vision

|March 4, 2024

概括

这项研究介绍了一种改进的自主监督除算法,它结合了两极化和深度学习. 它通过解决颜色变化和改进传输地图估计来有效地提高图像质量,从而获得更清晰,更生动的图像.

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:

图像消光算法经常与颜色变化和不完整的大气效应去除作斗争.
现有的方法可能会导致亮度变暗和传输地图估计不准确.

研究的目的:

提出一个改进的图像自我监督学习dehazing算法.
为了解决图像处理中的颜色转移和不完整的脱光问题.
为了提高传输地图估计的准确性,并恢复图像质量.

主要方法:

拟议的算法将两极化特征与深度学习框架 (YOLY网络) 集成在一起.
引入了多尺度和注意力机制模块,以改善传输估计中的特征提取.
开发了YCbCr颜色空间中的亮度和颜色一致性损失,以限制脱结果.

主要成果:

在合成数据上实现了PSNR 23.92和SSIM 0.94.
在现实世界的图像中展示了更真实的色彩恢复,更高的对比度和更丰富的细节.
实验结果显示,在6种对比的脱算法中,有显著的改进.

结论:

更多相关视频

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy

Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy

Published on: September 8, 2023

相关实验视频

Last Updated: Jul 1, 2025

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Application of Deep Learning-Based Medical Image Segmentation via Orbital Computed Tomography

Published on: November 30, 2022

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Digital Inline Holographic Microscopy DIHM of Weakly-scattering Subjects

Published on: February 8, 2014

Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy

Author Spotlight: Non-Invasive Imaging of Complex Bio-Structures Using Polarization-Sensitive Two-Photon Microscopy

Published on: September 8, 2023

拟议的算法有效地解决了颜色变化和不完整的脱问题.
两极分化和深度学习的整合显著提高了图像消毒性能.
该方法为合成和现实世界的图像消毒提供了卓越的有效性和质量.