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Updated: May 24, 2025

Excitation-Scanning Hyperspectral Imaging Microscopy to Efficiently Discriminate Fluorescence Signals
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SEGSID:用于声纳图像清除污垢的语义指导框架

Shaohua Liu, Junzhe Lu, Hongkun Dou

    IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
    |March 3, 2025
    PubMed
    概括

    一个新的语义指导声纳除斑框架SEGSID通过增强盲点网络 (BSN) 有效地减少了斑点噪声. 这种方法通过解决噪声相关性和信息丢失来提高声纳图像质量,优于现有技术.

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    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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