Baseline Correction and Denoising of Raman Spectra by Deep Residual CNN

机译：深度残差CNN对拉曼光谱的基线校正和去噪

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摘要

A practical deep residual CNN model for the improvement of Raman spectral analysis is proposed in this work. Through the feature transformation in the deep residual blocks, it successfully denoises and precisely corrects the baseline.

机译：在这项工作中，提出了一种实用的深残留CNN模型，用于改进拉曼光谱分析。通过深残差块中的特征变换，它可以成功地对基线进行去噪和精确校正。

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《Conference on Lasers and Electro-Optics》|2020年|1-2|共2页
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Bo-Han Kung; Chiu-Chang Huang; Po-Yuan Hu; Shao-yu Lo; Cheng-Che Lee; Chia-Yu Yao; Chieh-Hsiung Kuan;
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关键词
Noise level; Noise reduction; Discrete wavelet transforms; Raman scattering; Spectral analysis;

机译：噪声级;降噪;离散小波变换;拉曼散射;光谱分析;

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专利

1. Joint Baseline-Correction and Denoising for Raman Spectra [J] . Liu Hai, Zhang Zhaoli, Liu Sanya, Applied Spectroscopy: Society for Applied Spectroscopy . 2015,第9期

机译：拉曼光谱的联合基线校正和去噪
2. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising [J] . Kai Zhang, Wangmeng Zuo, Yunjin Chen, Image Processing, IEEE Transactions on . 2017,第7期

机译：超越高斯降噪器：深度CNN的残差学习以进行图像降噪
3. Hyperspectral Image Denoising Employing a Spatial–Spectral Deep Residual Convolutional Neural Network [J] . Yuan Qiangqiang, Zhang Qiang, Li Jie, IEEE Transactions on Geoscience and Remote Sensing . 2019,第2期

机译：利用空间光谱深残积卷积神经网络进行高光谱图像降噪
4. Symbol Denoising in High Order M-QAM using Residual learning of Deep CNN [C] . Saud Khan, Komal S. Khan, Soo Young Shin IEEE Annual Consumer Communications and Networking Conference . 2019

机译：使用深度CNN的残差学习在高阶M-QAM中进行符号去噪
5. A Bridged Denoising Convolutional Neural Network (BD-CNN) for Photon-Counting CT [D] . Qian, Guhan. 2019

机译：用于光子计数CT的桥接降噪卷积神经网络（BD-CNN）
6. Learning Deep Hierarchical Spatial–Spectral Features for Hyperspectral Image Classification Based on Residual 3D-2D CNN [O] . Fan Feng, Shuangting Wang, Chunyang Wang, 2019

机译：学习基于残差3D-2D CNN的深层空间光谱特征进行高光谱图像分类
7. Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising [O] . Zhang, Kai, Zuo, Wangmeng, Chen, Yunjin, 2016

机译：超越高斯降噪器：深度CNN对图像的残留学习去噪
8. Residual stress and Raman spectra of laser deposited highly-tetrahedral-coordinated-amorphous-carbon films [R] . Friedmann, T A, Siegal, M P, Tallant, 1994

机译：激光沉积的高四面体配位非晶碳膜的残余应力和拉曼光谱

Baseline Correction and Denoising of Raman Spectra by Deep Residual CNN

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